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