Dataset-I-drinking-related-object-detection (in both YoloV8 and COCO format)

This dataset contains annotated images for object detection for containers and hands in a first-person view (egocentric view) during drinking activities. Both YOLOV8 format and COCO format are provided.<br>Please refer to our paper for more details.<br><b>Purpose:</b> Training and testing the object detection model.<b>Content:</b> Videos from Session 1 of Subjects 1-20.<b>Images:</b> Extracted from the videos of Subjects 1-20 Session 1.<b>Additional Images:</b>~500 hand/container images from Roboflow Open Source data.~1500 null (background) images from VOC Dataset and MIT Indoor Scene Recognition Dataset:1000 indoor scenes from 'MIT Indoor Scene Recognition'400 other unrelated objects from VOC Dataset<b>Data Augmentation:</b>Horizontal flipping±15% brightness change±10° rotation<b>Formats Provided:</b>COCO formatPyTorch YOLOV8 format<b>Image Size:</b> 416x416 pixels<b>Total Images:</b> 16,834Training: 13,862Validation: 1,975Testing: 997<b>Instance Numbers:</b>Containers: Over 10,000Hands: Over 8,000