Object Detection
ultralytics
ONNX
English
yolo
yolov11
warehouse
pallet-detection
logistics
computer-vision
industrial
forklift
warehouse-automation
Eval Results (legacy)
Instructions to use EFFGRP/yolov11n-warehouse-pallets-1280 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ultralytics
How to use EFFGRP/yolov11n-warehouse-pallets-1280 with ultralytics:
from ultralytics import YOLOvv11 model = YOLOvv11.from_pretrained("EFFGRP/yolov11n-warehouse-pallets-1280") source = 'http://images.cocodataset.org/val2017/000000039769.jpg' model.predict(source=source, save=True) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 190890ce0db2295c7048663c47d9bd6d630f721486d06fcc3a50dfb18248574b
- Size of remote file:
- 11.1 MB
- SHA256:
- f3487a2b0e136bd85a15cf31f587c99b1482445166e57b7c743e75baf3e145c1
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