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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Parent(s): 7f830cd
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README.md
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tags:
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- ultralyticsplus
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- yolov8
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-
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- yolo
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- computer-vision
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- object-detection
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This model is specially design for thermal image object detection
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## Model Summary
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The YOLOv8 object Detection model is an
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## Model Details
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@ModelCard{
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author = {Nehul Agrawal and
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Rahul parihar},
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title = {YOLOv8s
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year = {2023}
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}
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```
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tags:
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- ultralyticsplus
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- yolov8
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- ultralyticsYOLOv8s Table Detection
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- yolo
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- computer-vision
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- object-detection
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This model is specially design for thermal image object detection
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## Model Summary
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The YOLOv8 object Detection model is an obYOLOv8s Table Detectionject detection model based on the YOLO (You Only Look Once) framework. It is designed to thermal image detect object, whether they are thermal object detect, in images. The model has been fine-tuned on a vast dataset and achieved high accuracy in detecting tables and distinguishing between thermal object detect ones.
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## Model Details
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@ModelCard{
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author = {Nehul Agrawal and
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Rahul parihar},
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title = {YOLOv8s thermal image Detection},
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year = {2023}
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}
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```
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