Scaffold for a computer-vision experimentation lab — project structure for training, evaluating, and deploying image-classification models (ResNet-50 / EfficientNet), with config-driven experiments and a FastAPI serving stub.
Status: early scaffold. Directory structure and interfaces are in place; training runs, experiment results, and the serving API are not yet implemented. Not production code.
configs/ dataset / model / training YAML configs
models/ ResNet-50, EfficientNet definitions
experiments/ experiment runner
evaluation/ metrics + evaluation entrypoints
deployment/ FastAPI serving stub, inference script
docker/ containerization
docs/ dataset / experiment / model-comparison reports (placeholders)
MIT