JDAI-CV/centerX
This repo is implemented based on detectron2 and centernet
This project helps computer vision engineers develop high-performance object detection models for image analysis. You input images with labeled objects, and it outputs a trained model capable of identifying those objects efficiently. It's designed for machine learning practitioners and researchers focused on improving object recognition accuracy and speed.
558 stars. No commits in the last 6 months.
Use this if you need to train a robust object detection model for tasks like counting people or identifying specific items in images, especially when aiming for good performance with less training time or using smaller models.
Not ideal if you are looking for a plug-and-play solution without any coding, or if your primary goal is keypoint detection rather than general object localization.
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558
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86
Language
Python
License
Apache-2.0
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Last pushed
Dec 31, 2020
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