DetectionSuite is a tool which can not only be used to test/deploy object detection models but also to generate large datasets required to train them .The main aim of the project project was to add new features to DetectionSuite which would enhance the user experience , to allow users label large amounts of data and to create a ROS Node of the tool to expand it’s reach.
Improvements & Suggestions
- Add support to Darknet
- Succesfully create a debian package
- Add support to store the labeled data in many other standard formats , currently being stored in a JSON string.
- Create a GUI application for labeling functionality (currently using deployer’s interface ) where the users can select the dataset format.
My Experience with JDE
I have no words that can describe how grateful I am to my mentors - Vinay and Sergio, for all their support, for being extremely helpful and listen with patience to every one of my problems. Without them this project would have been a lot more harder to work on.
I am also thankful to Jose Maria Sir and JDE Organisation for the opportunity to work on this project, which helped me learn a lot in such a short period.