Weeds Galore: 156 Sample Image Dataset for Agricultural Vision Tasks

156 samples comprise this image dataset hosted by Voxel51 on Hugging Face. It is designed for use with the FiftyOne computer vision toolkit, as indicated by the provided installation and usage instructions. The dataset was last updated on July 8, 2026.

Use Cases

• Train image classification models to identify weed species based on visual features.
• Benchmark object detection algorithms for locating weeds in agricultural scenes.
• Develop semantic segmentation models for precise weed mapping in fields.
• Use as a test set for evaluating agricultural vision pipelines within the FiftyOne ecosystem.

Strengths

• Dataset size is explicitly stated as 156 samples.
• Integration with the FiftyOne platform is documented, suggesting structured data management.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment for large-scale training.

Provenance

Source

Voxel51

Freshness

Last updated 2026-07-08 20:30:31; freshness should be verified.