How to use from the
Use from the
ultralytics library
# Couldn't find a valid YOLO version tag.
# Replace XX with the correct version.
from ultralytics import YOLOvXX

model = YOLOvXX.from_pretrained("Shaq2/chashibhai-potato-disease-cls")
source = 'http://images.cocodataset.org/val2017/000000039769.jpg'
model.predict(source=source, save=True)

ChashiBhAI Potato Disease Classifier (v2)

YOLO26-cls → TFLite FP16. Input [1, 640, 640, 3] NHWC, output [1, 3] softmax (nms: false). Preprocess: variant C centre-crop.

v2 files live in v2/. Root artifacts, if present, are the previous generation and are kept.

Classes: Potato__Early_Blight, Potato__Healthy_Leaf, Potato__Late_Blight.

Downloads last month
21
Inference Providers NEW
This model isn't deployed by any Inference Provider. 🙋 Ask for provider support

Collection including Shaq2/chashibhai-potato-disease-cls