Published October 14, 2023
| Version v1
Dataset
Open
RoboCup 2023 dataset
Contributors
Data collector (5):
Other (2):
-
1.
Hochschule Bonn-Rhein-Sieg
Description
This is the YOLO format version of the robocup2023 competition dataset. The dataset is annotated using the Anylabeling tool (Link: https://github.com/vietanhdev/anylabeling).
Industrial objects:
Total number of classes: 18
Objects: ['AllenKey', 'Axis2', 'Bearing2', 'Drill', 'F20_20_B', 'F20_20_G', 'Housing', 'M20', 'M20_100', 'M30', 'Motor2', 'S40_40_B', 'S40_40_G', 'Screwdriver', 'Spacer', 'Wrench', 'container_box_blue', 'container_box_red']
Total samples: 1516
Cavities:
Total number of classes: 12
Objects: ['DECOY', 'F20_20_H', 'F20_20_V', 'M20_100_H', 'M20_H', 'M20_V', 'M30_H', 'M30_V', 'R20_H', 'R20_V', 'S40_40_H', 'S40_40_V']
Total samples: 576