ixrbhii/betel-disease-convnext
image-classification model by ixrbhii
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Model card & documentation
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Tells which of 4 classes a betel leaf photo shows: Bacterial Leaf Disease, Dried Leaf, Fungal Brown Spot, Healthy. ConvNeXt-Small (convnextsmall, from convnextsmall.fbin22kftin1k), 224 × 224 RGB, 99 MB (half precision). 100.0 % test accuracy, macro-F1 1.000, on 376 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 and in focus. Below about…
Read the full model card ↗ · Preview checked 2026-10-03T07:37:35.526Z
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Model overview
ixrbhii/betel-disease-convnext is a image-classification model repository published by ixrbhii on Hugging Face. The source reports the timm library.
This page summarizes Hub metadata. For intended use, training data, evaluation results and limitations, consult the original model card.
Model facts
- Task
- image-classification
- Library
- timm
- Recent downloads (30 days)
- 0
- Cumulative likes
- 0
- Hugging Face trending score
- 0
- Reported safetensors parameters
- 49,457,764
- Architecture
- Not reported
- License
- cc-by-4.0
- Access
- Not gated by Hugging Face
- Created
- 2026-10-03T06:36:59.000Z
- Last modified
- 2026-10-03T06:37:02.000Z
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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