Multi-class classification on Stanford Cars Dataset
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Updated
May 26, 2023 - Python
Multi-class classification on Stanford Cars Dataset
DeepShield is a real-time deepfake face detection system built using EfficientNet-B0 and transfer learning, achieving 92% F1-score on 140K face dataset.
A simple Image classification on 4 categories. Uses EfficientNet-B0 fine tuned to recognise the categories.
Cross-year generalization study of rice leaf disease classification using ResNet50, DenseNet121, EfficientNet-B0, and DINOv2. Trained on 2021–2025 data, tested on unseen 2026 field images.
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