Annotated Images of 100 Crops and Plants for Object Detection

An open-source dataset of 25,000 annotated images for object detection in agricultural applications. The dataset, created by devshaheen, contains images of 100 different crops and plants and was last updated on February 25, 2025.

Use Cases

• Train object detection models to identify specific crop types based on annotated images.
• Develop agricultural monitoring systems for crop health or yield estimation based on visual plant data.
• Benchmark computer vision model performance on a multi-class agricultural detection task.
• Create educational or training tools for automated plant species recognition.

Strengths

• Contains 25,000 images, providing a substantial volume for model training.
• Covers 100 different crops and plants, offering a broad multi-class scope.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Description metadata is limited; actual data quality requires manual inspection after download.

Provenance

Source

devshaheen

Collection Method

Likely gathered and annotated for machine learning applications.

Time Range

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Freshness

Last updated 2025-02 25 21:20:31; freshness should be verified.

Geography

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