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Cifar100-classification Alternatives
Similar projects and alternatives to cifar100-classification
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One-Piece-Image-Classifier
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Show HN: ResNet-50 hits 84.35% on CIFAR-100 with heavy augmentations
Achieved 84.35% test accuracy on CIFAR-100 using a standard ResNet-50. Most public implementations top out around 81%, so this result is unusually high for a classic architecture.
Key points:
Heavy augmentations: Mixup, CutMix, ColorJitter, RandomErasing, rotations, affine transforms, and Gaussian blur.
Progressive fine-tuning: ImageNet-pretrained ResNet-50 trained in stages with OneCycleLR and mixed precision.
Streamlit demo: Upload your own images and see real-time CIFAR-100 predictions with confidence scores.
Accessible hardware: Trained on a single GTX 1650 (~15 hours), no massive cluster needed.
Repo & demo: https://github.com/Amirali-SoltaniRad/cifar100-classificatio...
Question for the community:
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84.35% on CIFAR-100 with ResNet-50
👉 Check the full code & demo: GitHub repo
- Cifar-100 classifier in PyTorch (with demo)
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Stats
Basic cifar100-classification repo stats
3
7
5.3
9 months ago
The primary programming language of cifar100-classification is Jupyter Notebook.
Popular Comparisons
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