Motivation
This dataset was created to support agricultural image analysis, model benchmarking, and reproducible dataset-driven research for computer vision tasks.
Dataset Overview
Learn the motivation, collection process, annotation methodology, and intended use of the dataset.
Data Collection
Images were collected under controlled and/or field-relevant conditions. Include here how images were captured, what hardware was used, and how consistency was maintained.
Annotation Protocol
Describe how annotations were produced, reviewed, and validated. Add details about class definitions, annotation criteria, and quality control.
Intended Tasks
Object detection, instance-level analysis, dataset conversion benchmarking, annotation parser evaluation, and computer vision training workflows.
Class Definitions
| Class ID | Class Name | Description |
|---|---|---|
| 1 | Cyst | Primary target object annotated for model training and detection. |
| 2 | Debris | Non-target region or confusing object relevant for robustness. |
| 3 | Root | Supporting or contextual object class in the image scene. |
Potential Reuse
Researchers can use this dataset to benchmark object detection models, compare annotation formats, test augmentation pipelines, evaluate robustness, and build educational or QA/QC workflows. The portal is designed to make the dataset easier to adopt across multiple frameworks.