Train and Deploy YOLOS Transformer On a Custom Dataset

YOLOS (You Only Look at One Sequence) has been integrated into the Hugging Face Transformers library, enabling its use in object detection pipelines alongside tools like Roboflow, Weights and Biases, and AWS Sagemaker Serverless. The process involves preparing a dataset in Roboflow, configuring the YOLOS model, training it using PyTorch Lightning, and visualizing the training process in Weights and Biases. The tutorial emphasizes the importance of high-quality data and provides guidance on deploying the trained model using AWS Sagemaker Serverless for scalable inference. The YOLOS architecture, derived from vision transformers originally used for NLP tasks, simplifies deployment by eliminating the need for non-maximum suppression (NMS), and supports continuous improvement through active learning.

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