ixrbhii/banana-disease-convnext
image-classification model by ixrbhii
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Model card & documentation
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Tells which of 10 classes a banana leaf photo shows: Bract Mosaic Virus Disease, Healthy, Insect Pest Damage, Moko Disease, Yellow Sigatoka Disease, Black Streak, Bunchy Top, Cordana Spot, Fruit Anthracnose, Panama Disease (Fusarium Wilt). ConvNeXt-Small (convnextsmall, from convnextsmall.fbin22kftin1k), 224 × 224 RGB, 99 MB (half precision). 98.8 % test accuracy, macro-F1 0.985, on 748 held-out photos. Test photos come from the same datasets the model learned from, so real field photos score lower. The training images were resized to 224 × 224 without cropping; timm's transform above (resize + 224 centre crop) gives the same result for square photos. labeldescriptions in config.json maps each name to the dataset's original label. Best results: one leaf filling most of the photo, in daylight…
Read the full model card ↗ · Preview checked 2026-10-03T07:35:35.445Z
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Model overview
ixrbhii/banana-disease-convnext is a image-classification model repository published by ixrbhii on Hugging Face. The source reports the timm library.
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Model facts
- Task
- image-classification
- Library
- timm
- Recent downloads (30 days)
- 0
- Cumulative likes
- 0
- Hugging Face trending score
- 0
- Reported safetensors parameters
- 49,462,378
- Architecture
- Not reported
- License
- cc-by-4.0
- Access
- Not gated by Hugging Face
- Created
- 2026-10-03T06:36:55.000Z
- Last modified
- 2026-10-03T06:36:58.000Z
Compatibility and lineage
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Source and freshness
Source: Hugging Face Hub. Metadata observed 2026-10-03T06:39:34.535Z. Daily imports are snapshots, not real-time monitoring.
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