Object Detection
ultralytics
ONNX
English
yolo
yolov11
warehouse
pallet-detection
logistics
computer-vision
industrial
forklift
warehouse-automation
Eval Results (legacy)
Instructions to use EFFGRP/yolov11s-warehouse-pallets-640 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ultralytics
How to use EFFGRP/yolov11s-warehouse-pallets-640 with ultralytics:
from ultralytics import YOLOvv11 model = YOLOvv11.from_pretrained("EFFGRP/yolov11s-warehouse-pallets-640") source = 'http://images.cocodataset.org/val2017/000000039769.jpg' model.predict(source=source, save=True) - Notebooks
- Google Colab
- Kaggle

- Xet hash:
- e9054b654df5a32f17a6060a54cacedcb7d4305c4898715a23d153f0387d5021
- Size of remote file:
- 570 kB
- SHA256:
- ff8a7ce8b3e1d818112efb8575d4a4a6f1a32b74e5a4ac9cfeb2fd9937c493be
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