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«ZDet» is a object detection benchmark code base

• Table of Contents
• Background
• Maintainers
• Thanks
• Contributing
• License

Object detection is one of the most mature and complex directions in the field of deep learning, and new model definitions, training methods and deployment skills appear every year. Some of these methods are only for specific data sets or specific implementation purposes, but there are always some methods that can be applied to most scenarios. There have been some great open source frameworks for object detection, such as MMDetection and Detectron2. In order to better learn, use and deploy object detection algorithms, I also try to implement some commonly used object detection algorithms.

• zhujian - Initial work - zjykzj

Anyone's participation is welcome! Open an issue or submit PRs.

Small note:

• Git submission specifications should be complied with Conventional Commits
• If versioned, please conform to the Semantic Versioning 2.0.0 specification
• If editing the README, please conform to the standard-readme specification.

Apache License 2.0 © 2021 zjykzj