Healthcare Image Recognition Development
Budget: $10 – $100 USD
I need an AI-driven image recognition system tailored for healthcare use. The core requirements are object detection and image classification so that medical photos—X-rays, scans, pathology slides, or similar inputs—can be analysed automatically and returned with reliable, structured results.
I am open to whichever framework you prefer (TensorFlow, PyTorch, Keras, or a comparable stack) provided the final model can be trained further with my proprietary data and accessed through a straightforward REST or gRPC API. A lightweight demo interface that lets me drag-and-drop images and view predictions in real time would be ideal for internal testing.
For delivery I will need:
• The reproducible training pipeline (code, environment files, and clear instructions)
• The trained weights plus a way to retrain or fine-tune them with new data
• The inference API with basic authentication
• A short performance report showing accuracy on my validation set
The data are ready in standard image folders and labelled in CSV format; NDA will be provided once we start. Please let me know the toolchain you suggest, the timeline, and any previous healthcare imaging projects you can share.
I am open to whichever framework you prefer (TensorFlow, PyTorch, Keras, or a comparable stack) provided the final model can be trained further with my proprietary data and accessed through a straightforward REST or gRPC API. A lightweight demo interface that lets me drag-and-drop images and view predictions in real time would be ideal for internal testing.
For delivery I will need:
• The reproducible training pipeline (code, environment files, and clear instructions)
• The trained weights plus a way to retrain or fine-tune them with new data
• The inference API with basic authentication
• A short performance report showing accuracy on my validation set
The data are ready in standard image folders and labelled in CSV format; NDA will be provided once we start. Please let me know the toolchain you suggest, the timeline, and any previous healthcare imaging projects you can share.