In this guide, we demonstrate an approach where we can start using the benefits of YOLO-World now, while simultaneously collecting data to train a faster custom model later.
DETR stands out from traditional object detection models due to its unique architecture and approach. Unlike other models that rely on anchor boxes or region proposal networks, DETR formulates object
Whether you're working on object detection, instance segmentation, or classification tasks, having a reliable and easy-to-use computer vision model is essential.
In this blog post, we'll
The YOLO family continues to grow with the next model: YOLOX. In this post, we will walk through how you can train YOLOX to recognize object detection data for your custom use case.
