---
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>