Object Detection
ultralytics
PyTorch
coffee
cherry count
yield estimate
ultralyticsplus
yolov8
yolo
vision
Eval Results (legacy)
Instructions to use rgautroncgiar/croppie_coffee_ug with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ultralytics
How to use rgautroncgiar/croppie_coffee_ug with ultralytics:
from ultralytics import YOLOvv8 model = YOLOvv8.from_pretrained("rgautroncgiar/croppie_coffee_ug") source = 'http://images.cocodataset.org/val2017/000000039769.jpg' model.predict(source=source, save=True) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c8c0f293f651a5af7954c3478af58bbb8098fe4c030ad060b48ec34babaf0b05
- Size of remote file:
- 1.45 kB
- SHA256:
- 308af9029bbb5a16d6c62f5fb7dac652a7149c64083614a6a3aed8fae83d7745
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.