ViViD-5k / README.md
Mac
init script
f94d2ab
metadata
license: cc-by-4.0
task_categories:
  - image-segmentation
  - keypoint-detection
language:
  - en
tags:
  - biology
  - agriculture
  - computer-vision
  - viticulture
size_categories:
  - 1K<n<10K
pretty_name: Vineyard Vision Dataset

ViViD-5k Dataset

ViViD-5k is a large-scale vineyard image dataset for grape cluster analysis. It includes:

  • 5,000 images across 13 grape varieties
  • 648,000+ annotated berry centroid keypoints
  • 18,000+ grape cluster instance masks & bboxes

Structure

data/
├── imgs/                      # Raw image files (JPG, PNG)
│   ├── <img_id>.suffix        
├── anns/                      # Annotation files
│   ├── instances_updated.json # COCO-format instance segmentation masks and bboxes
│   └── points/                # Berry keypoint annotations
│       └── <img_id>.npy  # NumPy files containing berry centroid coordinates
└── train.txt                  # 4,000 training image filenames
└── val.txt                    # 500 validation image filenames
└── test.txt                   # 500 test image filenames