Strengths3
- Includes both training notebook and inference API.
- Provides Dockerfile for containerization.
- Implements standard image preprocessing and postprocessing for inference.
ML Application · Jupyter Notebook
Garbage-classifier
What it is
The repository provides a FastAPI-based image classification service for garbage categorization, utilizing a pre-trained MobilenetV2 model trained on a garbage classification dataset, with the model served via ONNXRuntime.
Merit describes the code at this commit. Later pushes count once the owner rescans. How merit is scored
Where it counts
- Machine Learning80%
- Computer Vision80%
- MLOps40%
- Data Science30%
How much of the project is about each field, as scoring counts it. It ranks in the field it is most about.
What the judge found
Read from the project's code at its scored commit.
Limitations
The owner keeps this project's limitations private.
Around it on the Machine Learning board
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- 115HTB-Lost-in-Hyperspace-WriteupEducational Implementation · Jupyter Notebook42.9ImplementationPop AlexandruMachine Learning
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- 117, shared rankFace-Mask-DetectionML Application · Jupyter Notebook42.4ImplementationSuceveanu Mircea Dan SanduMachine Learning
- 117, shared rankFruitDeepLearning-ClassifierEducational Implementation · Jupyter Notebook42.4ImplementationPop AlexandruMachine Learning
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