Object Detection
ultralytics
TensorBoard
PyTorch
English
v8
ultralyticsplus
yolov8
ultralyticsYOLOv8s Table Detection
yolo
computer-vision
Eval Results (legacy)
Instructions to use foduucom/thermal-image-object-detection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ultralytics
How to use foduucom/thermal-image-object-detection with ultralytics:
from huggingface_hub import hf_hub_download from ultralytics import YOLO # pick the weights file from this repo's "Files and versions" tab weights = hf_hub_download("foduucom/thermal-image-object-detection", "<weights>.pt") model = YOLO(weights) source = 'http://images.cocodataset.org/val2017/000000039769.jpg' model.predict(source=source, save=True) - Notebooks
- Google Colab
- Kaggle
Commit ·
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README.md
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- accuracy
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pipeline_tag: object-detection
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---
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## Note
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This model is specially design for thermal image object detection
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Rahul parihar},
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title = {YOLOv8 object Detection},
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year = {2023}
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}
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```
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- accuracy
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pipeline_tag: object-detection
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---
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<div align="center">
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<img width="640" alt="foduucom/product-detection-in-shelf-yolov8" src="https://huggingface.co/foduucom/thermal-image-object-detection/blob/main/image.jpg
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</div>
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# Model Card for YOLOv8 object detection in thermal image
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## Note
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This model is specially design for thermal image object detection
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Rahul parihar},
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title = {YOLOv8 object Detection},
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year = {2023}
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}https://huggingface.co/foduucom/product-detection-in-shelf-yolov8/resolve/main/thumbnail.jpg
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```
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