Public Research Dataset

Annotated Image Dataset for Agricultural Computer Vision

A curated dataset of annotated images designed for model development, benchmarking, and reproducible research. Access the dataset through Zenodo, explore metadata, and convert annotations into multiple ML formats.

12,400

Images

27,800

Annotations

3

Classes

DOI

Zenodo Linked

Annotated sample dataset preview

Dataset Highlights

  • Public dataset with persistent DOI
  • Multiple annotation export formats
  • Designed for model benchmarking and reuse
  • Documentation, examples, and citation support

What this portal provides

Everything needed to help researchers and practitioners access, understand, and reuse the dataset efficiently.

Dataset Overview

Learn how the dataset was created, annotated, and intended to be used.

Explore overview

Statistics

Review image counts, annotation distribution, class balance, and splits.

View statistics

Downloads

Access official release files through Zenodo and cite the dataset correctly.

Go to downloads

Format Conversion

Convert annotations between supported formats for different training pipelines.

Open converter

Suggested use cases

Research

Use the dataset for baseline experiments, benchmarking, reproducibility studies, and comparative model evaluation.

Education

Support coursework, student projects, and demonstrations of object detection or annotation workflow pipelines.

Tool Development

Validate training pipelines, dataset converters, labeling tools, and QA/QC systems using a real-world annotated dataset.

Benchmarking

Compare COCO-based, YOLO-based, and custom model pipelines using consistent annotations and documented splits.