this project is under active development, things are subjected to changes!
for the past few months , i've been doing a few project with the YOLO framework, in my free time. Now, there is a good platform for labeling, and generating datasets called roboflow, but due to the amount of data that i've accumulated, it supasses the amount allowed on the free tier of roboflow , which is 50000 generations. So i've decided to write my own conversion and augmentation tool called kesa. Currently kesa has four commands.

• convert2yolo: convert labelme annotations to YOLO
• convert2yoloaug: convert labelme annotations to YOLO format and then create augmentations of each image
• autolabel: automatically labels images in specified folder in labelme JSON format
• end2end: auto-labels and then converts to YOLO format in one go

you can currently checkout this project here

future plans:

of course there will probably be some changes, but i've planned the following:

• web interface for looking at the dataset's health and the model's performance
• web interface labeling and generating datasets for training, as currently it is only cli only
• web interface for training and CI/CD of models

..that's all for now , until next time!