Lincoln Beet Dataset
Lincoln Beet Dataset
Datasets
Lincoln Beet
File
Lincoln Beet
Use Case
Lincoln Beet
Description
Explore the Lincoln Beet Weed and Crop Images Dataset, featuring 4402 high-resolution images with diverse annotation formats (COCO JSON, XML, YOLO).
Description:
The Lincoln Beet Weed and Crop Images Dataset is designed for advanced object detection tasks, focusing on distinguishing between weed plants and sugar beets.
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Details
- Image Count: 4402 images
- Resolution: 1920 x 1080 pixels
- Annotations: Object detection labels in COCO JSON, XML, and Darknet (YOLO) formats.
Content and Features
- High-Resolution Images: Ensures precise detection and annotation of minute details.
- Diverse Formats: Supports COCO JSON, XML, and YOLO Darknet, facilitating ease of integration with various object detection frameworks.
- Use Cases: Ideal for training machine learning models in agricultural automation, weed detection, and crop management systems.
Applications
- Agricultural Research: Enhances studies on weed control and crop management.
- Precision Farming: Supports the development of automated systems for targeted weed removal.
- Robotics: Useful for training agricultural robots for plant identification and selective treatment.
This dataset is sourced from Kaggle.
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