Data augmentation trabalhos
I have a run of Lithuanian newspapers printed in Fraktur between 1820 – 1920 and I am already getting fair results by applying Transkribus’ Danish 19th-century Gothic ...must reliably output š, č and ž. If you have a proven workflow for creating layout‐ground-truth, running HTR+ experiments, and iterating on confusion pairs, that is exactly what I’m after. Deliverables • A trained Transkribus model (HTR+) covering headlines and body text • A short report summarising training data volume, epochs, and achieved CER/WER on a held-out test set • The project folder (xml/txt) so I can continue refinement later If you believe additional data augmentation or language modelling would further raise accuracy, feel free to propose it&md...
I need help to reduce overfitting in my hybrid vision transformers/CNN model for prostate cancer classification. Current setup: - Training on medium resolution image data - Data augmentation applied, but only one technique Ideal skills and experience: - Strong background in deep learning, especially with vision transformers and CNNs - Expertise in image data processing and augmentation techniques - Experience with model optimization and overfitting reduction
I have a Vision Transformer + CNN hybrid that classifies prostate cancer on histopathological slides. Even after adding dropout layers, aggressive data augmentation, and standard regularization, training accuracy hovers in the 70 – 85 % range while validation lags notably, so the model is still over-fitting. The task is to diagnose why the gap persists, adjust the architecture or training pipeline, and push validation accuracy closer to the training score without sacrificing recall on minority classes. You will receive the current PyTorch codebase, preprocessing scripts, and a representative slide subset to reproduce the issue. Typical avenues might include fine-tuning ViT blocks, stain normalization, mixup/cutmix, smarter learning-rate schedules, class-balanced samp...
...pass through Normalization and Feature Scaling, and I’d like to see creative yet reasonable Data Augmentation (rotations, shifts, noise, etc.) applied consistently to both datasets so we can observe how each model copes with expanded variability. For each classifier, I need precision, recall, and F1-score reported per class and averaged (macro and weighted). Beyond raw numbers, I’m interested in a concise narrative or visual that explains how model complexity—not just depth or number of neighbors but also kernel choice, regularisation, and hidden-layer width—interacts with the distinct characteristics of the two datasets. Deliverables • Well-commented Python notebook(s) or script(s) showing data loading, preprocessing pipeline, model...
...The brief is straightforward: capture casual-style fashion looks and deliver polished images ready for an online catalogue. Here is exactly what I’m after: • Around 15–20 high-resolution images (4K preferred) featuring a genuine model photographed in relaxed, everyday outfits. • AI touch-ups or full AI backdrops that enhance the scene without compromising realism—think subtle background augmentation, lighting consistency, and colour harmony. • A cohesive visual mood suitable for e-commerce product pages: clean framing, neutral or softly styled environments, and a clear focus on the garments. I’ll provide reference shots, brand guidelines, and outfit details. You can shoot the model yourself or work from supplied raws; either way, pos...
...The brief is straightforward: capture casual-style fashion looks and deliver polished images ready for an online catalogue. Here is exactly what I’m after: • Around 15–20 high-resolution images (4K preferred) featuring a genuine model photographed in relaxed, everyday outfits. • AI touch-ups or full AI backdrops that enhance the scene without compromising realism—think subtle background augmentation, lighting consistency, and colour harmony. • A cohesive visual mood suitable for e-commerce product pages: clean framing, neutral or softly styled environments, and a clear focus on the garments. I’ll provide reference shots, brand guidelines, and outfit details. You can shoot the model yourself or work from supplied raws; either way, pos...
...The brief is straightforward: capture casual-style fashion looks and deliver polished images ready for an online catalogue. Here is exactly what I’m after: • Around 15–20 high-resolution images (4K preferred) featuring a genuine model photographed in relaxed, everyday outfits. • AI touch-ups or full AI backdrops that enhance the scene without compromising realism—think subtle background augmentation, lighting consistency, and colour harmony. • A cohesive visual mood suitable for e-commerce product pages: clean framing, neutral or softly styled environments, and a clear focus on the garments. I’ll provide reference shots, brand guidelines, and outfit details. You can shoot the model yourself or work from supplied raws; either way, pos...
...The brief is straightforward: capture casual-style fashion looks and deliver polished images ready for an online catalogue. Here is exactly what I’m after: • Around 15–20 high-resolution images (4K preferred) featuring a genuine model photographed in relaxed, everyday outfits. • AI touch-ups or full AI backdrops that enhance the scene without compromising realism—think subtle background augmentation, lighting consistency, and colour harmony. • A cohesive visual mood suitable for e-commerce product pages: clean framing, neutral or softly styled environments, and a clear focus on the garments. I’ll provide reference shots, brand guidelines, and outfit details. You can shoot the model yourself or work from supplied raws; either way, pos...
...detection and recognition. Project Requirements: 1. Detect Iraqi license plates from vehicle images using a deep learning model (preferably YOLOv8). 2. Crop the detected license plate from the image. 3. Apply OCR to recognize the license plate number and characters. 4. The system should support Arabic letters, English letters, and Arabic-Indic numbers used in Iraqi license plates. 5. Use data augmentation techniques (rotation, blur, illumination changes) to improve model performance. 6. Provide training and testing scripts. 7. Provide the full Python source code. Tools preferred: - Python - YOLOv8 - OpenCV - PyTorch or TensorFlow - EasyOCR or Tesseract Output required: - Full working Python code - Trained model - Instructions to run the project I already have a ...
...The brief is straightforward: capture casual-style fashion looks and deliver polished images ready for an online catalogue. Here is exactly what I’m after: • Around 15–20 high-resolution images (4K preferred) featuring a genuine model photographed in relaxed, everyday outfits. • AI touch-ups or full AI backdrops that enhance the scene without compromising realism—think subtle background augmentation, lighting consistency, and colour harmony. • A cohesive visual mood suitable for e-commerce product pages: clean framing, neutral or softly styled environments, and a clear focus on the garments. I’ll provide reference shots, brand guidelines, and outfit details. You can shoot the model yourself or work from supplied raws; either way, pos...
...The brief is straightforward: capture casual-style fashion looks and deliver polished images ready for an online catalogue. Here is exactly what I’m after: • Around 15–20 high-resolution images (4K preferred) featuring a genuine model photographed in relaxed, everyday outfits. • AI touch-ups or full AI backdrops that enhance the scene without compromising realism—think subtle background augmentation, lighting consistency, and colour harmony. • A cohesive visual mood suitable for e-commerce product pages: clean framing, neutral or softly styled environments, and a clear focus on the garments. I’ll provide reference shots, brand guidelines, and outfit details. You can shoot the model yourself or work from supplied raws; either way, pos...
...of what makes it novel in light of recent literature. Cite the gap or twist that turns it from a replication study into new work. • A brief outline of the methodology: suggested datasets, baseline models (e.g., CNNs, Transformers, LSTMs, or classic scikit-learn algorithms), and any advanced techniques—transfer learning, data augmentation, hybrid architectures, etc.—that would let me demonstrate the novelty experimentally. Nothing is set in stone regarding domain, data type, or application area, so feel free to be creative—just keep the technical scope reasonable for one researcher with typical resources (Python, PyTorch/TensorFlow). Acceptance criteria 1. Each topic must reference at least one recent paper or benchmark it seeks to impr...
...The brief is straightforward: capture casual-style fashion looks and deliver polished images ready for an online catalogue. Here is exactly what I’m after: • Around 15–20 high-resolution images (4K preferred) featuring a genuine model photographed in relaxed, everyday outfits. • AI touch-ups or full AI backdrops that enhance the scene without compromising realism—think subtle background augmentation, lighting consistency, and colour harmony. • A cohesive visual mood suitable for e-commerce product pages: clean framing, neutral or softly styled environments, and a clear focus on the garments. I’ll provide reference shots, brand guidelines, and outfit details. You can shoot the model yourself or work from supplied raws; either way, pos...
...to complex enterprise software projects. This is NOT a passive account management role. We need a Hunter. What You'll Sell Quick Wins (2–4 week sales cycle): - Web Design & UI/UX (WordPress, Shopify) - Digital Marketing Retainers (SEO, PPC, Social Media) Strategic Projects (2–6 month sales cycle): - Custom Software & Mobile App Development - Cloud Migration & IT Managed Services - Staff Augmentation for Startups Your Responsibilities - Prospect SMBs and funded startups in US/Canada via LinkedIn, Apollo, and cold outreach - Lead full sales cycles — from first contact to signed contract - Pitch web/marketing services for quick wins AND large dev contracts for long-term revenue - Act as the bridge between North American clients and our ...
...The brief is straightforward: capture casual-style fashion looks and deliver polished images ready for an online catalogue. Here is exactly what I’m after: • Around 15–20 high-resolution images (4K preferred) featuring a genuine model photographed in relaxed, everyday outfits. • AI touch-ups or full AI backdrops that enhance the scene without compromising realism—think subtle background augmentation, lighting consistency, and colour harmony. • A cohesive visual mood suitable for e-commerce product pages: clean framing, neutral or softly styled environments, and a clear focus on the garments. I’ll provide reference shots, brand guidelines, and outfit details. You can shoot the model yourself or work from supplied raws; either way, pos...
...The brief is straightforward: capture casual-style fashion looks and deliver polished images ready for an online catalogue. Here is exactly what I’m after: • Around 15–20 high-resolution images (4K preferred) featuring a genuine model photographed in relaxed, everyday outfits. • AI touch-ups or full AI backdrops that enhance the scene without compromising realism—think subtle background augmentation, lighting consistency, and colour harmony. • A cohesive visual mood suitable for e-commerce product pages: clean framing, neutral or softly styled environments, and a clear focus on the garments. I’ll provide reference shots, brand guidelines, and outfit details. You can shoot the model yourself or work from supplied raws; either way, pos...
...The brief is straightforward: capture casual-style fashion looks and deliver polished images ready for an online catalogue. Here is exactly what I’m after: • Around 15–20 high-resolution images (4K preferred) featuring a genuine model photographed in relaxed, everyday outfits. • AI touch-ups or full AI backdrops that enhance the scene without compromising realism—think subtle background augmentation, lighting consistency, and colour harmony. • A cohesive visual mood suitable for e-commerce product pages: clean framing, neutral or softly styled environments, and a clear focus on the garments. I’ll provide reference shots, brand guidelines, and outfit details. You can shoot the model yourself or work from supplied raws; either way, pos...
...recognise plant diseases, and then serves the prediction through a Streamlit interface. Because I do not yet have the images, the first task is to identify and download a suitable, well-labelled dataset from Kaggle. Feel free to compare a few candidates, but the final choice should give good class balance and enough samples per disease category. Once the data is in place, walk through exploratory data analysis, preprocessing, and augmentation inside a Jupyter notebook. From there, build and tune a convolutional neural network (TensorFlow / Keras or PyTorch are both fine) and report the usual metrics plus a confusion matrix so I can judge class-wise performance. When the model is satisfactory, save it and wrap inference in a clean Streamlit app where a user uploads ...
...The brief is straightforward: capture casual-style fashion looks and deliver polished images ready for an online catalogue. Here is exactly what I’m after: • Around 15–20 high-resolution images (4K preferred) featuring a genuine model photographed in relaxed, everyday outfits. • AI touch-ups or full AI backdrops that enhance the scene without compromising realism—think subtle background augmentation, lighting consistency, and colour harmony. • A cohesive visual mood suitable for e-commerce product pages: clean framing, neutral or softly styled environments, and a clear focus on the garments. I’ll provide reference shots, brand guidelines, and outfit details. You can shoot the model yourself or work from supplied raws; either way, pos...
...our emerging work in IoT, circular tech, robotic medical devices, structured cabling, IT staff augmentation, consulting and more. The tone must stay technical and detailed; every page should speak fluently to CIOs, procurement leads and data-centre managers who already understand the jargon but still want clear value statements. Scope of work • Research-driven, original content that we can publish without further rewriting. • SEO-friendly integration of the exact phrases “Reselling IT equipment”, “Annual maintenance contracts”, “Robotic medical devices”, “IoT”, and “circular tech” in a natural way. • The most in-depth treatment is required for the IT hardware solutions & services, ...
...The brief is straightforward: capture casual-style fashion looks and deliver polished images ready for an online catalogue. Here is exactly what I’m after: • Around 15–20 high-resolution images (4K preferred) featuring a genuine model photographed in relaxed, everyday outfits. • AI touch-ups or full AI backdrops that enhance the scene without compromising realism—think subtle background augmentation, lighting consistency, and colour harmony. • A cohesive visual mood suitable for e-commerce product pages: clean framing, neutral or softly styled environments, and a clear focus on the garments. I’ll provide reference shots, brand guidelines, and outfit details. You can shoot the model yourself or work from supplied raws; either way, pos...
... • Implement preprocessing (frame extraction, augmentation, ROI isolation) and post-processing (tracking, alert generation) in Python using libraries such as PyTorch/TensorFlow and OpenCV. • Optimise for inference on an on-premise GPU; latency under 200 ms per frame is the target. • Provide clear metrics: precision, recall, F1, and confusion matrices on a held-out validation set. • Package the final solution with a lightweight REST or gRPC endpoint so the in-house engineering team can call it from our SCADA system. Deliverables 1. Source code repository with clean, documented modules. 2. Trained model weights and a reproducible training script. 3. Step-by-step deployment guide (Docker-friendly). 4. Short report summarising data preparati...
...The brief is straightforward: capture casual-style fashion looks and deliver polished images ready for an online catalogue. Here is exactly what I’m after: • Around 15–20 high-resolution images (4K preferred) featuring a genuine model photographed in relaxed, everyday outfits. • AI touch-ups or full AI backdrops that enhance the scene without compromising realism—think subtle background augmentation, lighting consistency, and colour harmony. • A cohesive visual mood suitable for e-commerce product pages: clean framing, neutral or softly styled environments, and a clear focus on the garments. I’ll provide reference shots, brand guidelines, and outfit details. You can shoot the model yourself or work from supplied raws; either way, pos...
...The brief is straightforward: capture casual-style fashion looks and deliver polished images ready for an online catalogue. Here is exactly what I’m after: • Around 15–20 high-resolution images (4K preferred) featuring a genuine model photographed in relaxed, everyday outfits. • AI touch-ups or full AI backdrops that enhance the scene without compromising realism—think subtle background augmentation, lighting consistency, and colour harmony. • A cohesive visual mood suitable for e-commerce product pages: clean framing, neutral or softly styled environments, and a clear focus on the garments. I’ll provide reference shots, brand guidelines, and outfit details. You can shoot the model yourself or work from supplied raws; either way, pos...
...The brief is straightforward: capture casual-style fashion looks and deliver polished images ready for an online catalogue. Here is exactly what I’m after: • Around 15–20 high-resolution images (4K preferred) featuring a genuine model photographed in relaxed, everyday outfits. • AI touch-ups or full AI backdrops that enhance the scene without compromising realism—think subtle background augmentation, lighting consistency, and colour harmony. • A cohesive visual mood suitable for e-commerce product pages: clean framing, neutral or softly styled environments, and a clear focus on the garments. I’ll provide reference shots, brand guidelines, and outfit details. You can shoot the model yourself or work from supplied raws; either way, pos...
...fuse sensor data (camera, LiDAR or radar—your call), and deliver code that can run in real-time on an automotive-grade computer. I already have access to a simulation environment and a small-scale test vehicle; your models should slot straight into this pipeline so we can iterate quickly before any road trials. Discrete deliverables • End-to-end model architecture and training scripts • Trained weights with documented performance metrics for the three features above • Integration wrapper that lets me drop the system into ROS or a similar middleware • A brief test report that shows behaviour in simulation and outlines next-step improvements I value clean, well-commented code (Python/C++ preferred) and clear explanations of any hyper-paramete...
More details: Which type of dataset are you planning to use for the CNN model? This question was skipped by the user What is the primary focus area of the academic submission? This question was skipped by the user Which types of activation functions do you want to experiment with? This question was skipped by the user
I’d like a small, fast-loading website that clearly showcases my IT services alongside our recruitment and staff-augmentation practice. The build can be in clean HTML/CSS, WordPress, or any other lightweight stack you’re comfortable with, as long as it is responsive and easy for me to edit later. Homepage structure • About Us – include a short company history plus our mission & vision • Services – outline IT support, recruitment and staff-augmentation offerings • Why Choose Us – a concise value-proposition panel • Technology Section – logos or text highlighting the tech we work with • Contact Information – phone, e-mail and a simple enquiry form Total page count will likely stay at three to five,...
I’d like a small, fast-loading website that clearly showcases my IT services alongside our recruitment and staff-augmentation practice. The build can be in clean HTML/CSS, WordPress, or any other lightweight stack you’re comfortable with, as long as it is responsive and easy for me to edit later. Homepage structure • About Us – include a short company history plus our mission & vision • Services – outline IT support, recruitment and staff-augmentation offerings • Why Choose Us – a concise value-proposition panel • Technology Section – logos or text highlighting the tech we work with • Contact Information – phone, e-mail and a simple enquiry form Total page count will likely stay at three to five,...
...GPU OR Cloud (AWS/GCP/Azure) STEP 3: PET Scan Dataset Preparation Collect Dataset Public PET database (e.g., TCIA) Research partnership dataset Must include: PET images Diagnosis labels (Optional) treatment outcome labels Organize Data Structure: data/ train/ val/ test/ Handle DICOM Files Use pydicom to read images Convert to 3D tensors Normalize voxel intensity STEP 4: Data Preprocessing with MONAI Use MONAI transforms: LoadImage EnsureChannelFirst Spacing (resample voxel spacing) Orientation ScaleIntensity Resize RandFlip / RandRotate (augmentation) This ensures: Consistent input size Clean intensity scaling 3D volumetric handling STEP 5: Model Selection For Diagnosis (Classification) Use: 3D ResNet 3D DenseNet EfficientNet (adapted) Input:...
Only interested in serious bids - after checking the requirements. AI generated bids will be discarded. I am looking for a mid level (2-3 years experienced) proactive business development manager who has worked in the technology sector (IT - AI - Data science). The freelancer should have excellent experience in finding the leads for all or any of the following: - Contract developer requirements - Application development - Staff augmentation The freelancer should have good experience in complete cycle - starting from finding the leads to closing the leads. Must have technical recruitment experience to source candidates through job portals, linkedin etc. Timings: 2 hours a day to start with. Budget: Rs.10,000 per month + commission (for closed leads) Excellent communica...
... fast classification of photos only; we are not dealing with video or live camera feeds right now, though I may extend in that direction later. You are free to choose the underlying framework—TensorFlow, PyTorch, scikit-learn—so long as OpenCV is used for image handling and preprocessing. Here is what I expect: • A well-documented training script that reads my labeled dataset, performs augmentation where helpful, and outputs a reproducible model. • An inference module (CLI or small API) that accepts a folder of JPEG/PNG files and returns class labels with confidence scores. • Clear instructions for environment setup plus any dependency list (Python version, library versions). • Metrics demonstrating accuracy on a held-out test set so I c...
...The brief is straightforward: capture casual-style fashion looks and deliver polished images ready for an online catalogue. Here is exactly what I’m after: • Around 15–20 high-resolution images (4K preferred) featuring a genuine model photographed in relaxed, everyday outfits. • AI touch-ups or full AI backdrops that enhance the scene without compromising realism—think subtle background augmentation, lighting consistency, and colour harmony. • A cohesive visual mood suitable for e-commerce product pages: clean framing, neutral or softly styled environments, and a clear focus on the garments. I’ll provide reference shots, brand guidelines, and outfit details. You can shoot the model yourself or work from supplied raws; either way, pos...
... • Configurer les campagnes (structure, ciblage, enchères, extensions, pixels, etc.). • Rédiger des annonces percutantes et choisir les mots-clés ou audiences adaptés. • Lancer, suivre et optimiser les campagnes pour maximiser les clics tout en contrôlant le coût par visite. • Fournir un reporting clair avec vos analyses et recommandations d’ajustement. Critères de réussite : nette augmentation du trafic mesuré dans Google Analytics, respect du budget publicitaire que je définirai, et amélioration continue des indicateurs clés (CTR, CPC, taux de conversion). Merci de décrire précisément votre expérience pertinente en gestion de Google A...
...inside one architecture; running them in parallel but independently will not satisfy our accuracy goals. You may use the deep-learning stack you trust most (PyTorch, TensorFlow, Keras, OpenCV, torchaudio, etc.) provided the final network can run in real time on an edge device and be exported to ONNX or TFLite. I will share product constraints and a small proprietary data set; you will expand it through public sources or augmentation, perform rigorous cross-validation, and refine the model until we consistently exceed 90 % precision and recall on an unseen hold-out set. When you apply, show me past work—links to papers, GitHub repos, Kaggle solutions, or shipped features—demonstrating experience with cry detection, sound-event recognition, emotion analysis, or...
...model capable of classifying key clinical findings. The end goal is a production-ready Python solution that can consistently score above 90 % accuracy on an unseen validation set. You’ll start with any mainstream framework you prefer—TensorFlow, Keras, or PyTorch—and handle the full pipeline: data preparation and augmentation, model architecture selection, training, hyper-parameter tuning, and evaluation. Please keep the code modular and well-commented so I can retrain or fine-tune later as new data comes in. A concise report that explains your decisions, metrics, and suggestions for future improvements will also be appreciated. To help me choose quickly, focus your proposal on your experience with medical imaging or similar computer-vision tasks...
...machine-learning pipeline that can look at medical images—specifically plain-film X-rays—and tell me whether each study is of the chest, abdomen, or an extremity. All input files will be standard hospital exports (mostly DICOM, occasionally PNG/JPEG), so the model must handle typical variations in resolution and contrast. What I’m after is a reproducible, well-documented solution: data preparation, augmentation, model architecture (a CNN in TensorFlow, Keras, or PyTorch is fine), training, and evaluation. Please include class-balanced splits, explain any preprocessing you apply, and show the metrics you achieve on an unseen validation set. Deliverables • Python code with clear comments for preprocessing, training, and inference • Trained m...
...detect and classify different types of sea trash such as plastic, metal, fabric, rubber, fishing gear, and wood from underwater images and video streams. A convolutional neural network (CNN) model is trained on a labeled dataset of marine objects, including both trash and marine life, enabling accurate differentiation between debris and natural underwater elements. Automated data preprocessing and image augmentation techniques are used to improve model performance and robustness under varying underwater conditions such as low visibility, lighting changes, and water turbidity. Once trash is detected, the system highlights its location and category, providing actionable information that can be used by autonomous underwater vehicles (AUVs), remotely operated vehicles (ROVs)...
Here’s a tightened rewrite that makes **AI-first thinking** explicit and non-negotiable, in a tone that fits LinkedIn without fluff: --- **Senior Consulting Architect — AI-Native Systems (AI-First)** We’re engaging a **senior consulting architect** to help design, harden, and future-proof an **AI-native platform** built with AI at the centre of every decision. This is **not staff augmentation**. It’s a senior consulting role with real accountability for outcomes. The brief is to make the system **correct, secure, scalable, and resilient**, while fully embracing AI as a core capability—not a bolt-on. **What you’ll do** * Lead and refine the core architecture of an AI-native system * Challenge and stress-test assumptions around scale, failure ...
En tant que professionnel de la traduction sérieux et rapide cherchant à élargir ma clientèle et à accroître ma visibilité sur le marché, je suis à la recherche de nouvelles stratégies pour promouvoir et améliorer mes services. Je souhaite mettre en place un projet qui me permettra de : ...freelancers. - Expérience dans l'obtention de certifications et la gestion des adhésions à des associations professionnelles. - Connaissance des plateformes de portfolio en ligne et des meilleures pratiques pour les traducteurs freelancers. - Aptitudes en communication pour solliciter et présenter des témoignages clients. L'objectif est de mettre en œuvre des actions concr&egrav...
...The role combines technical understanding with strong business consulting, requirement gathering, and solution presentation skills. Key Responsibilities Engage with customers to understand business objectives, workflows, and operational challenges. Conduct discovery sessions and requirement workshops with business & technical stakeholders. Identify opportunities where AI/ML, automation, and data-driven solutions can enhance efficiency, decision-making, or user experience. Define problem statements, use cases, and high-level solution approaches. Collaborate with technical teams to draft solution architecture, feasibility assessments, and effort estimations. Prepare client-facing presentations, PoCs, and proposal documents. Support RFP/RFI responses for AI/ML and analyt...
...By removing the "technical tax" of creation, AI shifts the focus back to the idea. In this light, AI is not replacing the artist; it is expanding the definition of who can be an artist. The "craft" is no longer just in the physical execution, but in the curation, the prompting, and the conceptualization. The Collaborative Horizon The most compelling argument for AI is not replacement, but augmentation. The future of creativity likely lies in a "Centaur" model—a term borrowed from chess where a human and a computer play as a team. In this partnership, the AI handles the heavy lifting of pattern generation and iterative drafting, while the human provides the soul, the ethical compass, and the cultural context. A writer might use AI to brai...
Augmentation for existing PhysioNet channels plus evaluation vs baseline
My workspace at already hosts the early experiments for a machine-learning pipeline that classifies image data. The prototype currently loads a modest training set, applies minimal augmentation, and feeds it into a basic CNN. Accuracy plateaus quickly, so the next steps are to tighten the data-prep workflow, tune the architecture, and ship a repeatable training routine that reaches production-ready performance. What needs to happen • Curate and augment the image dataset, ensuring balanced classes and clear train/validation/test splits. • Redesign or refine the network—think transfer learning with EfficientNet or a custom ResNet variation implemented in PyTorch or TensorFlow/Keras. • Integrate early-stopping
My workspace at already hosts the early experiments for a machine-learning pipeline that classifies image data. The prototype currently loads a modest training set, applies minimal augmentation, and feeds it into a basic CNN. Accuracy plateaus quickly, so the next steps are to tighten the data-prep workflow, tune the architecture, and ship a repeatable training routine that reaches production-ready performance. What needs to happen • Curate and augment the image dataset, ensuring balanced classes and clear train/validation/test splits. • Redesign or refine the network—think transfer learning with EfficientNet or a custom ResNet variation implemented in PyTorch or TensorFlow/Keras. • Integrate early-stopping
I have a collection of raw image data that needs to be turned into a production-ready image classification model. The project is strictly data-analysis-oriented: everything from exploring the dataset through to delivering a trained network and clear performance metrics. Scope of work • Inspect and prepare the images (deduplication, resizing, augmentation where it actually improves results). • Select or design a deep-learning architecture that suits the dataset size and class balance—transfer learning with TensorFlow or PyTorch is perfectly fine if it speeds up convergence. • Train, validate and test the model, then hand over the full training notebook or script with comments so I can reproduce results on my own machine. • Provide a ...
I have a collection of raw image data that needs to be turned into a production-ready image classification model. The project is strictly data-analysis-oriented: everything from exploring the dataset through to delivering a trained network and clear performance metrics. Scope of work • Inspect and prepare the images (deduplication, resizing, augmentation where it actually improves results). • Select or design a deep-learning architecture that suits the dataset size and class balance—transfer learning with TensorFlow or PyTorch is perfectly fine if it speeds up convergence. • Train, validate and test the model, then hand over the full training notebook or script with comments so I can reproduce results on my own machine. • Provide a ...
Our staffing bench is ready; what I need now are signed augmentation contracts with medium-sized technology companies that require Software Developers, Data Analysts, or Project Managers. Every engagement you close is rewarded through an agreed-upon commission structure—there is no retainer, advance, or one-time payment before work begins. Your focus will be to identify decision-makers, pitch our vetted talent pool, and drive each lead through to a service agreement. Because we work exclusively on incentive, the earning potential scales directly with the value and duration of the contracts you secure. Deliverables I will use to release commissions: • Qualified lead list with contact details and discovery notes • Proof of scheduled meetings or demos and t...
...project to cover: • A script that reads the full prints, overlays every predefined mask and saves the visible fragments as training inputs while keeping the original images as ground-truth targets. • A CNN architecture implemented with MATLAB’s Deep Learning Toolbox (layers, training options, data augmentation, checkpointing). Feel free to suggest a proven structure such as U-Net or an encoder-decoder, as long as it runs end-to-end in MATLAB. • Training code that accommodates the modest data size, applies validation splits, and prevents over-fitting (transfer learning or regularisation are welcome). • Inference code that takes an unseen partial, feeds it to the trained model, and outputs the reconstructed fingerprint. • An ev...
...building a **simple single‑page web interface** that displays image statistics, metadata, and GPS coordinates extracted from drone‑captured images. These coordinates must be plotted on **Google Maps**, showing markers that correspond to each image. --- ## **Project Requirements** ### **1. YOLOv11 Model Development** - Train a **YOLOv11** model using the provided dataset. - Perform data preprocessing, augmentation, and annotation validation if needed. - Provide: - Trained model weights - Inference script - Documentation on how to run the model --- ### **2. Image Metadata Extraction** Each image contains metadata including: - GPS coordinates (latitude & longitude) - Timestamp - Camera/drone information (if available) The system should: - Automatically extract...
