AppleGrowthVision: Apple Orchard Imagery with 11,397 Groups

11,397 groups (21,407 samples) of apple orchard imagery form this FiftyOne dataset. It was created by Voxel51 and last updated on Hugging Face on 2026-07-10. The dataset is intended for computer vision applications in agriculture.

Use Cases

• Train object detection models to identify apples based on orchard imagery.
• Develop growth stage classification models for apples using sequential imagery groups.
• Conduct agricultural yield estimation studies using the grouped image samples.

Strengths

• Contains 21,407 individual image samples for model training.
• Organized into 11,397 logical groups, which may suggest temporal or spatial sequences.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Last updated 2026-07-10 16:40:37; freshness should be verified.

Provenance

Source

Voxel51 via Hugging Face

Freshness

2026-07-10 16:40:37