The YOLO family recently got a new champion - YOLOR: You Only Learn One Representation. In this post, we will walk through how you can train YOLOR to recognize object detection data for your custom use case.
HuggingFace has recently published a Vision Transfomer
[https://github.com/google-research/vision_transformer] model. In this post, we
will walk through how you can train a Vision Transformer to recognize
In this blog, we discuss how to train and deploy a custom license plate detection model to the NVIDIA Jetson. While we focus on the detection of license plates in particular, this guide also provides an end-to-end guide on deploying custom computer vision models to your NVIDIA Jetson on the edge.
Applying data augmentations
one of the most essential steps when developing your dataset. Roboflow offers a
wide variety of augmentations that you can apply
has been released! You can use YOLOv4-tiny for much faster training
[https://www.youtube.com/watch?v=NTnZgLsk_DA] and much faster object