catch-twenty-two/rust-ssd
An implementation of Single Shot Detection (SSD) using the Burn deep learning framework in Rust
This project helps computer vision and embedded engineers analyze images by detecting specific objects within them. You provide it with images and a pre-trained model, and it outputs the original images with bounding boxes and labels around the detected objects like people, cats, or dogs. It's designed for professionals working with visual data who need to identify and locate items automatically.
Use this if you need a customizable and deeply documented tool for object detection in images, especially if you want to understand or modify the underlying Single Shot Detection (SSD) algorithm.
Not ideal if you're a beginner looking for a simple, out-of-the-box object detection solution without any deep learning or Rust experience.
Stars
13
Forks
2
Language
Rust
License
—
Category
Last pushed
Dec 02, 2025
Commits (30d)
0
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