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--- |
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tags: |
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- object-detection |
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- COCO |
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- YOLO |
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- Darknet |
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model-index: |
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- name: darknet-coco-object_detection |
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results: |
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- metrics: |
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- type: None |
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value: '1' |
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name: None |
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task: |
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type: object-detection |
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name: object-detection |
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dataset: |
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name: COCO |
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type: COCO |
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--- |
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## Darknet Object Detection on the COCO dataset |
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This model uses a pretrained YOLO Darknet model to perform object detection on an input image. The model is able to identify 80 classes from the COCO dataset. The classes are listed here `config/coco.names`. |
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### Usage |
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Clone the repository using |
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```python |
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repo = Repository("/local_repo_name", clone_from="danieladejumo/darknet-coco-object_detection") |
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``` |
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Run a detection by using the function `detect(path_to_image)` in the notebook `darknet-coco-object_detection.ipynb`. The output image with the detection rectangle and classes will be saved to `images/image_file_name-det.jpg` |
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