Turfgrass Divot Dataset (Synthetic ) for divot detection object detection system
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下载链接：
https://zenodo.org/record/8375418
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资源简介：
The dataset provided below has been synthetically created using Blender. A fundamental analysis on this data was conducted utilizing the YOLO V3 object detection technique to identify divots or areas of damage.
Used for paper:
Advancing Turfgrass Maintenance with Synthetic Data for Divot Detection
https://github.com/stevefoy/Turfgrass-Divot-Object-Detection
@inproceedings{IMVIP2024,
author = {Stephen Foy and Simon McLoughlin},
title = {Advancing Turfgrass Maintenance with Synthetic Data for Divot Detection},
booktitle = {Irish Machine Vision and Image Processing Conference (IMVIP)},
year = {2024}
}
Contents of the Zip File:
synthDivot_416x416 Folder:
Train and validation subfolders
1200 RGB PNG images
Corresponding masks for each image
Bounding box data in YOLO .txt format
synthDivot_608x608 Folder:
Train and validation subfolders
1200 RGB PNG images
Bounding box data in YOLO .txt format
创建时间：
2024-08-20
