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ENOT-AutoDL
/
yolov8s_visdrone

Object Detection
ultralytics
TensorBoard
yolov8
ENOT-AutoDL
yolo
vision
Eval Results (legacy)
Model card Files Files and versions
xet
Metrics Training metrics Community

Instructions to use ENOT-AutoDL/yolov8s_visdrone with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • ultralytics

    How to use ENOT-AutoDL/yolov8s_visdrone with ultralytics:

    from ultralytics import YOLOvv8
    
    model = YOLOvv8.from_pretrained("ENOT-AutoDL/yolov8s_visdrone")
    source = 'http://images.cocodataset.org/val2017/000000039769.jpg'
    model.predict(source=source, save=True)
  • Notebooks
  • Google Colab
  • Kaggle
yolov8s_visdrone
158 MB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 2 commits
andreysher's picture
andreysher
Add dataset to model card and config.json
13f2711 about 2 years ago
  • baseline_enot
    Initial commit over 2 years ago
  • baseline_enot_nano
    Initial commit over 2 years ago
  • baseline_ultralytics
    Initial commit over 2 years ago
  • enot_neural_architecture_selection_x2
    Initial commit over 2 years ago
  • enot_neural_architecture_selection_x3
    Initial commit over 2 years ago
  • .gitattributes
    1.88 kB
    Initial commit over 2 years ago
  • README.md
    2.01 kB
    Add dataset to model card and config.json about 2 years ago
  • config.json
    26 Bytes
    Add dataset to model card and config.json about 2 years ago
  • measure_macs.py
    687 Bytes
    Initial commit over 2 years ago
  • requirements.txt
    19 Bytes
    Initial commit over 2 years ago
  • validate.py
    434 Bytes
    Initial commit over 2 years ago