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Crop Leaf Diseases Vit

This model is a Vision Transformer (ViT) designed to identify plant diseases in crops as part of a smart agricultural farming system. It has been trained on a diverse dataset of plant images, including different...

KindOtherBase modelWinKawaks/vit-tiny-patch16-224VersionRevision b99ab27

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Kind
Other
File size
21.1 MB
Base model
WinKawaks/vit-tiny-patch16-224
Version
vRevision b99ab27
Updated
Sep 22, 2026
Downloads
19
Source
Hugging Face

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This model is a Vision Transformer (ViT) designed to identify plant diseases in crops as part of a smart agricultural farming system. It has been trained on a diverse dataset of plant images, including different...

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Hugging FacePrimaryVersion b99ab2732ecdcd9a8c8b91b7868de38e3e97120c
huggingface.co/joggwr/crop_leaf_diseases_vit/tree/b99ab2732ecdcd9a8c8b91b7868de38e3e97120c

Verified Sep 10

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model.safetensors

safetensors · 21.1 MB · SHA-256 1f91c9032e29…14b2 · Hugging Face

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--- base_model: - WinKawaks/vit-tiny-patch16-224 library_name: transformers license: mit metrics: - accuracy pipeline_tag: image-classification tags: - vision transformer - agriculture - plant disease detection - smart farming - image classification --- # Model Card for Smart Farming Disease Detection Transformer This model is a Vision Transformer (ViT) designed to identify plant diseases in crops as part of a smart agricultural farming system. It has been trained on a diverse dataset of plant images, including different disease categories affecting crops such as corn, potato, rice, and wheat. The model aims to provide farmers and agronomists with real-time disease detection for better crop management. ## Model Details ### Model Description This Vision Transformer model has been fine-tuned to classify various plant diseases commonly found in agricultural settings. The model can classify diseases in crops such as corn, potato, rice, and wheat, identifying diseases like rust, blight, leaf spots, and others. The goal is to enable precision farming by helping farmers detect diseases early and take appropriate actions. - **Developed by:** Wambugu Kinyua - **Model type:** Vision Transformer (ViT) - **Languages (NLP):** N/A (Computer Vision Model) - **License:** Apache 2.0 - **Finetuned from model:** [WinKawaks/vit-tiny-patch16-224](https://huggingface.co/WinKawaks/vit-tiny-patch16-224) - **Input:** Images of crops (RGB format) - **Output:** Disease classification labels (healthy or diseased categories) - **ONNX weights** [Onnx f32 weights](https://huggingface.co/wambugu71/crop_leaf_diseases_vit_onnx) ## Diseases from the model | Crop | Diseases Identified | |--------|------------------------------| | Corn | Common Rust | | Corn | Gray Leaf Spot | | Corn | Healthy | | Corn | Leaf Blight | | - | Invalid | | Potato | Early Blight | | Potato | Healthy | | Potato | Late Blight | | Rice | Brown Spot | | Rice | Healthy | | Rice | Leaf Blast | | Wheat | Brown Rust | | Wheat | Healthy | | Wheat | Yellow Rust | ## Uses ### Direct Use This model can be used directly to classify images of crops to detect plant diseases. It is especially useful for precision farming, enabling users to monitor crop health and take early interventions based on the detected disease. ### Downstream Use This model can be fine-tuned on other agricultural datasets for specific crops or...

Source context: 19 downloads · 0 likes · Pipeline image-classification · Library transformers · Repo joggwr/crop_leaf_diseases_vit