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.

Please refer to our paper for more details.

• Purpose: Training and testing the object detection model.
• Content: Videos from Session 1 of Subjects 1-20.
• Images: Extracted from the videos of Subjects 1-20 Session 1.
• • Additional Images:
  • • ~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
  • Data Augmentation:
  • • Horizontal flipping
    • ±15% brightness change
    • ±10° rotation
  • Formats Provided:
  • • COCO format
    • PyTorch YOLOV8 format
  • Image Size: 416x416 pixels
  • Total Images: 16,834
  • • Training: 13,862
    • Validation: 1,975
    • Testing: 997
  • Instance Numbers:
  • • Containers: Over 10,000
    • Hands: Over 8,000