Pests 2Xlvx: 717 Images of 28 Agricultural Pest Species for Object Detection

LibreYOLO provides an object detection dataset containing 717 annotated images across 28 classes of agricultural pests. The dataset is part of the Roboflow 100 benchmark, which spans 7 imagery domains. It was last updated on the Hugging Face platform in January 2026.

Use Cases

• Train object detection models to identify pest species based on annotated imagery.
• Benchmark model performance on agricultural pest detection as part of the Roboflow 100 collection.
• Develop automated pest monitoring systems based on visual detection of species like Agrotis and Chilo suppressalis.

Strengths

• Contains 717 annotated images split into train (509), validation (153), and test (55) sets.
• Covers 28 distinct pest classes, including Agrotis, Athetis lepigone, and Chilo suppressalis.

Limitations

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

Provenance

Source

LibreYOLO via Hugging Face.

Collection Method

Part of the Roboflow 100 benchmark collection.

Time Range

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Freshness

Last updated 2026-01-20 20:35:05; freshness should be verified.

Geography

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