avs-abhishek123/Detectron2
Detectron is Facebook AI Research’s (FAIR) software system that implements state-of-the-art object detection algorithms, including Mask R-CNN. It is written in Python and powered by the Caffe2 deep learning framework. Detectron model is meant to advance object detection by offering speedy training and addressing the issues companies face when making the step from research to production.
This software system helps engineers and researchers in autonomous vehicle development quickly identify and label objects within images. You input images from vehicle sensors, and it outputs images with detected objects clearly outlined and categorized, helping to advance self-driving capabilities. It's designed for professionals working on computer vision tasks who need to rapidly prototype and evaluate object detection models.
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Use this if you are a computer vision researcher or autonomous vehicle engineer needing to rapidly train and evaluate state-of-the-art object detection models on image data.
Not ideal if you are looking for a simple, off-the-shelf application for basic image editing or cartoonization without deep learning expertise.
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MIT
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Last pushed
Apr 05, 2023
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