README.md

metadata

title: Waste Classification API
emoji: ♻️
colorFrom: green
colorTo: blue
sdk: docker
app_port: 7860
pinned: false
license: gpl-3.0

Waste Classification API

Public FastAPI inference for the Waste Classification Android app. The Docker Space serves the EfficientNet-B0 model exported to ONNX by the training notebook and implements the same nine-class contract as the API notebook.

• Health: GET /health
• Interactive docs: GET /docs
• Inference: POST /predict as multipart/form-data, field file
• Supported images: JPEG, PNG, WebP (maximum 10 MB)

curl -X POST \
  -F "file=@sample.jpg" \
  https://voxnuts947-waste-classification-api.hf.space/predict

The response includes predicted_class, confidence, and all_probabilities. Input is resized to 224 x 224 and normalized with the ImageNet mean and standard deviation used during training.

Sources

• Training notebook
• API notebook
• Android application

Model SHA-256: bc573cb16ab51dad2c239262db1872c8221493b41bf02bcd1efedc9cac3c2f52