ViViD-5k: Vineyard Images for Grape Cluster Analysis

ViViD-5k is a large-scale vineyard image dataset for grape cluster analysis. It contains 5,000 images across 13 grape varieties with over 648,000 annotated berry centroid keypoints and more than 18,000 grape cluster instance masks and bounding boxes. The dataset was created by XZhi and last updated on Hugging Face in June 2025.

Use Cases

• Train instance segmentation models based on the 18,000+ grape cluster masks and bounding boxes.
• Develop berry detection and counting algorithms based on the 648,000+ annotated berry centroid keypoints.
• Perform variety classification or analysis across the 13 different grape types included.
• Benchmark computer vision models for agricultural object detection in complex, natural environments.

Strengths

• Large scale of 5,000 images provides substantial training material.
• High annotation density with over 648,000 berry centroids for detailed analysis.
• Includes instance-level annotations with more than 18,000 cluster masks and bounding boxes.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Description metadata is limited; actual data quality requires manual inspection after download.

Provenance

Source

XZhi on Hugging Face.

Freshness

Last updated 2025-06-01 00:14:52; freshness should be verified.