Meta DETR (Detection Transformer) is an artificial intelligence model developed by Meta for object recognition and segmentation in images and videos. It uses transformer-based architectures to improve object detection accuracy without the need for traditional processes like anchors or clustering. Its efficiency makes it ideal for computer vision applications such as security, industrial automation, and medical image analysis. Meta DETR represents an advancement in visual processing, allowing for the identification of elements with greater accuracy and speed compared to conventional models.