Articles in this series
What Is Object Detection? Object detection is a computer vision task that aims to identify and locate objects within an image or video. Specifically, it draws bounding boxes around detected objects, enabling us to locate where the objects are and tra...
Object detection is a computer vision task that aims to identify and locate objects in an image or video. This identification and localization make object detection suitable for things like counting objects in a scene, determining and tracking their ...
Object detection is one of the fundamental computer vision tasks. Although often confused with image recognition, object detection goes beyond mere classification. Simply put, object detection techniques mark the region of the image that contains the...
YOLOR, You Only Learn One Representation, is a state-of-the-art object detection model that is 88% faster than Scaled-YOLOV4 and 3.8% more accurate than PP-YOLOV2. This makes it the best YOLO variant to date. YOLOR has a unified network that models h...
Transformers have established their importance in natural language processing (NLP), their ability to learn a general language representation and transfer it to specific tasks has made them invaluable. And with the advent of Vision Transformer (ViT)...
