What is YOLOX? YOLOX is a single stage real time object detector. It was introduced in the paper YOLOX: Exceeding YOLO Series in 2021. The baseline model of YOLOX is YOLOv3 SPP with Darknet53 ...
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 ...
YOLOv7 is the new state-of-the-art object detector in the YOLO family. According to the paper, it is the fastest and most accurate real-time object detector to date. According to the YOLOv7 paper, the ...
Intersection Over Union (IoU) is a number that quantifies the degree of overlap between two boxes. In the case of object detection and segmentation, IoU evaluates the overlap of Ground Truth and ...
You can either love YOLOv5 or despise it. You can't ignore YOLOv5! YOLO has come a long way since its first release. There are eight major versions in the YOLO family lineup - The official ones by ...
Recently, we had a lot of fun playing with Body Posture Detection using MediaPipe POSE. It works like a charm. We built a poor posture alert application using OpenCV and MediaPipe. Continue reading ...
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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.
