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ArthiAnand/plant-leaf-species-classifier
plant-leaf-species-classifier is a image classification model from ArthiAnand. Use it when you need a label for an image. It is set up for timm. The card lists the license as mit.
Four ImageNet-pretrained backbones fine-tuned on a real-world (field-condition) plant leaf dataset, compared on accuracy vs. computational cost.
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Updated Jul 22, 2026
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.pth237 MB · 50%
From the Hugging Face model README
Four ImageNet-pretrained backbones fine-tuned on a real-world (field-condition) plant leaf dataset, compared on accuracy vs. computational cost.
| Model | Params | Test Accuracy (%) | Avg. Inference (ms/img) |
|---|---|---|---|
| MobileNetV4-Conv-Small | 2,503,272 | 99.56 | 1.026 |
| MobileNetV4-Conv-Medium | 8,444,760 | 98.67 | 1.254 |
| EfficientNetV2-S | 20,187,736 | 100.0 | 2.399 |
| ConvNeXt-Tiny | 27,826,280 | 100.0 | 33.36 |
Classes: Apple, Berry, Fig, Guava, Orange, Palm, Persimmon, Tomato
Each <key>_leaf_classifier.pth is a state_dict() for the corresponding
timm model (see model_registry.json for the exact timm model name to
reconstruct the architecture with timm.create_model(timm_name, pretrained=False, num_classes=8)).