Agrotools: Anonymized Multimodal Agricultural Question-Answering Data

AgroTools provides an anonymized dataset for agricultural question-answering. It contains 539 test samples, including images and depth map assets. The dataset was last updated on 2026-05-07.

Use Cases

• Benchmarking depth estimation models based on provided .npy depth assets
• Training multimodal question-answering systems based on the described image and text data
• Developing agricultural computer vision applications based on the included image assets

Strengths

• Dataset includes 539 test samples for evaluation
• Contains multiple asset types including images and depth maps (.npy files)
• Provides original source question file and taxonomy notes

Limitations

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

Provenance

Source

AgroTools

Freshness

Last updated 2026-05-07 03:14:42