amdegroot/ssd.pytorch
A PyTorch Implementation of Single Shot MultiBox Detector
This project helps you automatically identify and locate objects within images or live video feeds. You provide images (like from the PASCAL VOC or COCO datasets) and it outputs bounding box coordinates and labels for detected objects. This is ideal for researchers, computer vision engineers, or data scientists working on object detection tasks.
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Use this if you need to train and evaluate a Single Shot MultiBox Detector (SSD) model for fast and accurate object recognition in images or real-time video streams.
Not ideal if you need to perform image classification (identifying what an image is about without locating objects) or if you are not comfortable with command-line operations and Python environments.
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Language
Python
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MIT
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Last pushed
Dec 29, 2021
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