Vineyard Pruning Dataset with 536 Image Samples

A dataset of 536 samples for vineyard pruning tasks. It was created by Voxel51 and is hosted on the Hugging Face platform. The dataset was last updated on July 13, 2026.

Use Cases

• Train object detection models to identify pruning points based on image data.
• Develop semantic segmentation models for distinguishing vine structures from the background.
• Benchmark visual recognition algorithms for agricultural robotics applications.
• Analyze plant morphology for precision agriculture tasks.

Strengths

• Contains 536 samples, providing a foundation for model training.
• Hosted on a major platform (Hugging Face) with associated loading utilities.

Limitations

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

Provenance

Source

Voxel51

Freshness

Last updated 2026-07-13 16:42:14; freshness should be verified.