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oxford-17-flowers-cnn
darjja/oxford-17-flowers-cnn
oxford-17-flowers-cnn is a image classification model from darjja. Use it when you need a label for an image. The card lists the license as apache-2.0.
Small custom CNN trained on the Oxford 17 Flowers dataset. Classifies RGB images into 17 flower categories.
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Repo size
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.pth2.2 MB · 100%
At a glance
- Task
- Image Classification
- License
- apache-2.0
- Access
- Public
- Created
- Jul 1, 2026
- Updated
- Jul 1, 2026
- SHA
- 469df52c
Datasets
Model card
From the Hugging Face model README
Oxford 17 Flowers CNN
Small custom CNN trained on the Oxford 17 Flowers dataset. Classifies RGB images into 17 flower categories.
Quick start
pip install torch torchvision huggingface_hub pillow
Download the script and run it on any image:
huggingface-cli download darjja/oxford-17-flowers-cnn predict.py --local-dir .
python predict.py your_flower.jpg
python predict.py your_flower.jpg --top 5
The script downloads weights, config, and model code from this repo automatically.
Classes
Bluebell, Buttercup, Coltsfoot, Cowslip, Crocus, Daffodil, Daisy, Dandelion, Fritillary, Iris, Lilyvalley, Pansy, Snowdrop, Sunflower, Tigerlily, Tulip, Windflower
- Task
- Image Classification
- License
- apache-2.0
- Created
- Jul 1, 2026
- Updated
- Jul 1, 2026