This repository acts as a gateway to the Wadhwani Institute for Artificial Intelligence (Wadhwani AI) pest data set. The data set is primarily intended for training pest recognition models. Such models are used by Wadhwani AI to help cotton farmers make better pest management decisions.
In addition to providing documentation about the data, this repository contains scripts to format the data for consumption by popular modelling frameworks. Please see the wiki for more information.
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Clone the repository and download the data (10s of GB); within a terminal emulator:
$> git clone https://github.com/WadhwaniAI/pest-management-opendata.git $> cd pest-management-opendata $> aws s3 sync --no-progress s3://wadhwaniai-agri-opendata/ data/
The data directory will house images along with compressed CSVs containing bounding box information for pests in those images. Because of their format, it is unlikely that the CSVs are directly usable by popular modelling toolkits. Users are free to write their own parsers to bridge that gap, or to use one of the parsers provided in this repository. Details on the data format, and the conversion scripts, can be found in the wiki.
The dataset is also accesible via Hugging Face datasets:
from datasets import load_dataset
dataset = load_dataset('wadhwani-ai/pest-management-opendata', streaming=True)More information can be found in our wiki, and in the Hugging Face dataset repository.
If something is not clear, or does not seem correct, please let us know! This goes for all aspects of this repository: code, data, and documentation. Issues and pull requests are welcome. You can also reach out through email: agri-ai@wadhwaniai.org.