ML Application · Python

Image-Classification-CIFAR100

kamran akmal@kamranakamal · Atlas 61.6 · #19= builder

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What it is

This repository provides an end-to-end image classification system for the CIFAR-100 dataset using a pre-trained EfficientNet-B0 model with a Gradio web interface for inference and a training script for fine-tuning.

Scored atcc50ab89 Nov 2026Changes since

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Where it counts

Machine Learning90%
Computer Vision90%
MLOps30%
Data Science10%

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

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Strengths4

End-to-end machine learning application with training and inference capabilities.
Clear documentation and setup instructions for users to reproduce the work.
Incorporates modern techniques (RandAugment, label smoothing, cosine annealing) via established libraries.
Includes Dockerfile for containerized deployment and training.

Limitations

The owner keeps this project's limitations private.

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