ChashiBhAI on-device disease classifiers
Collection
YOLO26-cls TFLite classifiers for ChashiBhAI. Rice, brassica, and corn independently tested. • 6 items • Updated • 1
How to use Shaq2/chashibhai-potato-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-potato-disease-cls")
source = 'http://images.cocodataset.org/val2017/000000039769.jpg'
model.predict(source=source, save=True)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.