auto-label

Data is a huge factor in deep learning algorithms. The larger our data size, the better our model can generalize and learn. However, data preparation is a very laborious and time-consuming process. That's why I wanted to develop an application that I thought would make this stage easier. By using image processing techniques, it can track an obje…

End-to-end auto-labeling pipeline for video segmentation using SAM2 and CoTracker, with a PyQt5 GUI for interactive annotation and YOLO dataset generation.

GitHub App that auto-labels and routes new issues based on title, body, and historical patterns.