Arguably, the most crucial task of a Deep Learning based Multiple Object Tracking (MOT) is not to identify an object, but to re-identify it after occlusion. There are a plethora of trackers available ...
Face Detection is a computer vision technique in which a computer program can detect the presence of human faces and also find their location in an image or a video stream. Isn’t it mind-boggling how ...
Document Scanning is a background segmentation problem which can be solved using various methods. It is one of the extensively used applications of computer vision. In this post, we are considering ...
Since its inception, the YOLO family of object detection models has come a long way. YOLOv7 is the most recent addition to this famous anchor-based single-shot family of object detectors. It comes ...
Today we are going to walk you through the implementation of Center Stage as seen in Apple iPads, iMacs, and MacBooks. We will be using the following: ✅ MediaPipe to track the person ✅ OpenCV for ...
Mean Average Precision (mAP) is a performance metric used for evaluating machine learning models. It is the most popular metric that is used by benchmark challenges such as PASCAL VOC, COCO, ImageNET ...
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In 2007, right after finishing my Ph.D., I co-founded TAAZ Inc. with my advisor Dr. David Kriegman and Kevin Barnes. The scalability, and robustness of our computer vision and machine learning algorithms have been put to rigorous test by more than 100M users who have tried our products.
