Object Detection
Object detection has traditionally been a closed set problem you train on a fixed list of classes and cannot recognize new ones Grounding DINO breaks this mold becoming an open
Object detection has come a long way especially with the rise of transformer based models RF DETR developed by Roboflow is one such model that offers both speed and accuracy
Imagine you have multiple warehouses in different places where you don 8217 t have time to monitor everything at a time and you can 8217 t afford a lot of
Object detection has undergone tremendous advancements with models like YOLOv12 YOLOv11 and Darknet Based YOLOv7 leading the way in real time detection While these models perform exceptionally well on general
Real time object detection has become essential for many practical applications and the YOLO You Only Look Once series by Ultralytics has always been a state of the art model
