Code and resources for LMFM-12 microalgae image classification, comparing seven CNN architectures and evaluating transfer learning performance
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Updated
Apr 13, 2026 - Python
Code and resources for LMFM-12 microalgae image classification, comparing seven CNN architectures and evaluating transfer learning performance
A project that involves using Machine Learning Models (such as Convolutional Neural Networks) to identify mathematical symbols and solve given expressions.
Modular PyTorch image classification framework supporting multiple models and datasets with automatic input adaptation
Image Classification Model, You can upload the following images: TRANSPORTS: Car, Boat, Airplane, Rocket, Helicopter, CARNIVORES: Raccoon, Otter, Dog, Lion, Tiger, Red_panda, Lynx, Jaguar, Bear, Fox, Cat FRUITS: Apple, Grape, Common_fig, Pear, Strawberry, Tomato, Lemon, Banana, Orange, Peach, Mango, Pineapple, Grapefruit, Pomegranate, Watermelon…
🍅 CNN & Streamlit based Tomato Leaf Disease Detection with 11-class classification, real-time prediction and Docker deployment.
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