Image Keypoint Annotator - Gesture Recognition (Academic Project)
For the Gesture Recognition using Embedded ML project, I processed image data and extracted key features from video frames. I annotated 21 landmark keypoints per frame to build structured model input data. This work deepened my expertise in image-based annotation workflows.• Processed real-time video frames for annotation • Labeled key points on hand gestures in images • Improved dataset quality for embedded ML applications • Enhanced real-time inference through precise labeling