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--- |
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license: mit |
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language: |
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- en |
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tags: |
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- object-detection |
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- computer-vision |
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- pascal-voc |
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datasets: |
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- pascal_voc |
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metrics: |
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- map |
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- "map@0.5" |
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pipeline_tag: object-detection |
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base_model: resnet-50 |
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library_name: pytorch |
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--- |
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# 🚀 Usage Instructions |
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For setup and usage details, visit the SSD section of the GitHub repository: <br> |
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[SSD GitHub](https://github.com/adrirubio/ml-rover/tree/main/ssd) <br> |
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This includes: |
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- Installation steps |
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- Model training and evaluation |
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- Configuration options |
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- How to run inference |
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# 🧪 Inference Examples |
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See the SSD model in action with ready-made examples showing predictions on various images: <br> |
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[SSD Examples](https://github.com/adrirubio/ml-rover/tree/main/ssd/inference-examples) <br> |
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# 🖼️ Run Inference on a Custom Image |
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Use this script to run inference on your own image file by specifying the path manually: <br> |
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[ssd-inference.py](https://github.com/adrirubio/ml-rover/blob/main/ssd/ssd-inference.py) <br> |
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ℹ️ Usage instructions are included in the script comments.<br> |
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# 🎲 Run Inference on a Random Pascal VOC Image |
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Quickly test the SSD model on a random image from the Pascal VOC dataset: <br> |
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[Pascal-VOC-inference.py](https://github.com/adrirubio/ml-rover/blob/main/ssd/Pascal-VOC-inference.py) <br> |
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ℹ️ Usage instructions are included in the script comments. <br> |
