Accelerate Image Annotation with SAM and Grounding DINO - Python Tutorial

Learn to accelerate image annotation using Grounding DINO and Segment Anything Model (SAM) in this Python tutorial. Discover techniques for converting object detection datasets into instance segmentation datasets and explore the potential of these models for automatic dataset annotation for real-time detectors like YOLOv8. Set up the Python environment, load the necessary models, and master single image and full dataset mask auto-annotation. Gain insights into saving labels in Pascal VOC XML format, uploading annotations to Roboflow, and refining them using the Roboflow UI. Convert object detection datasets to instance segmentation and explore the future possibilities of this technology.