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 ...
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What is Face Detection? Ultimate Guide 2025 + Model Comparison
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 Segmentation Using Deep Learning in PyTorch
Document Scanning is a background segmentation problem that can be solved using various methods. It is one of the extensively used applications of computer vision. In this article, we are considering ...
Fine Tuning YOLOv7 on Custom Dataset
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 ...
Center Stage for Zoom Calls Using MediaPipe
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) in Object Detection
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 ...
