Custom Computer Vision Model Development
Budget: ₹600 – ₹1,500 INR
I’m building a bespoke computer-vision component that doesn’t map neatly to standard image recognition, object detection, or segmentation. The exact use-case and sample data will be shared after an initial NDA, but at a high level the model will need to ingest still images, learn meaningful visual patterns, and run efficiently in production (Python, TensorFlow / PyTorch, possible ONNX export).
You’ll take the lead on end-to-end development: dataset design or augmentation, model selection, training, tuning, evaluation, and packaging for deployment behind a lightweight REST or gRPC interface. Robust documentation and clean, reproducible code are essential.
Deliverables
• Pre-processing and training scripts/notebooks
• Trained weights plus an inference module or API
• Clear README explaining environment setup, usage, and retraining steps
• Brief demo (screenshots or video) confirming the model meets agreed accuracy/latency targets
Please include a detailed project proposal outlining your intended approach, preferred frameworks, milestone timeline, and any clarifying questions you need answered before kickoff. I’ll review proposals based on technical soundness and practicality, then schedule a quick call to align on scope.
You’ll take the lead on end-to-end development: dataset design or augmentation, model selection, training, tuning, evaluation, and packaging for deployment behind a lightweight REST or gRPC interface. Robust documentation and clean, reproducible code are essential.
Deliverables
• Pre-processing and training scripts/notebooks
• Trained weights plus an inference module or API
• Clear README explaining environment setup, usage, and retraining steps
• Brief demo (screenshots or video) confirming the model meets agreed accuracy/latency targets
Please include a detailed project proposal outlining your intended approach, preferred frameworks, milestone timeline, and any clarifying questions you need answered before kickoff. I’ll review proposals based on technical soundness and practicality, then schedule a quick call to align on scope.