Tracking Plant Growth Using Image Sequence Analysis- Datasets
收藏DataCite Commons2025-05-01 更新2025-05-17 收录
下载链接：
https://data.mendeley.com/datasets/z2fp5kbgbh
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资源简介：
This dataset consists of five subsets with annotated images in COCO format, designed for object detection and tracking plant growth:
1. Cucumber_Train Dataset (for Faster R-CNN)
- Includes training, validation, and test images of cucumbers from different angles.
- Annotations: Bounding boxes in COCO format for object detection tasks.
2. Tomato Dataset
- Contains images of tomato plants for 24 hours at hourly intervals from a fixed angle.
- Annotations: Bounding boxes in COCO format.
3. Pepper Dataset
- Contains images of pepper plants for 24 hours at hourly intervals from a fixed angle.
- Annotations: Bounding boxes in COCO format.
4. Cannabis Dataset
- Contains images of cannabis plants for 24 hours at hourly intervals from a fixed angle.
- Annotations: Bounding boxes in COCO format.
5. Cucumber Dataset
- Contains images of cucumber plants for 24 hours at hourly intervals from a fixed angle.
- Annotations: Bounding boxes in COCO format.
This dataset supports training and evaluation of object detection models across diverse crops.
提供机构：
Mendeley Data创建时间：
2025-01-10
