Image Classification
ultralytics
LiteRT
Bengali
English
yolo26-cls
agriculture
bangladesh
crop-disease
yolo26
on-device
brassica
chashibhai
Instructions to use Shaq2/chashibhai-brassica-disease-cls with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ultralytics
How to use Shaq2/chashibhai-brassica-disease-cls with ultralytics:
# Couldn't find a valid YOLO version tag. # Replace XX with the correct version. from ultralytics import YOLOvXX model = YOLOvXX.from_pretrained("Shaq2/chashibhai-brassica-disease-cls") source = 'http://images.cocodataset.org/val2017/000000039769.jpg' model.predict(source=source, save=True) - Notebooks
- Google Colab
- Kaggle
File size: 449 Bytes
ae702a3 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 | cff-version: 1.2.0
title: "ChashiBhAI Brassica Disease Classifier"
message: If you use this model, please cite it.
type: software
authors:
- family-names: Ahmed
given-names: Shakil
alias: Shaq2
repository-code: https://github.com/MRSHAKILS/AI-Powered-Smart-Agriculture-Advisory-Platform-for-Bangladesh
url: https://huggingface.co/Shaq2/chashibhai-brassica-disease-cls
license: MIT
version: "0.1.0"
date-released: "2026-08-16"
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