RoboCup @work 2023 dataset
- This is the YOLO format version of the robocup2023 competition dataset. The dataset is annotated using the Anylabeling tool
| Document Type: | Dataset |
|---|---|
| Language: | English |
| Author: | Patel Kevin, Chenchani Gokul, Selvaraju Ravisankar, Shinde Shubham, Kalagaturu Vamsi, Mannava Vivek, Santosh Thoduka, Deebul Nair |
| DOI: | https://doi.org/10.5281/zenodo.10003914 |
| DOI: | https://doi.org/10.5281/zenodo.10003915 |
| Publisher: | Zenodo |
| Date of first publication: | 2023/10/15 |
| Keywords: | industrial objects; object detection; robocup@work |
| Departments, institutes and facilities: | Fachbereich Informatik |
| Dewey Decimal Classification (DDC): | 0 Informatik, Informationswissenschaft, allgemeine Werke / 00 Informatik, Wissen, Systeme / 006 Spezielle Computerverfahren |
| Entry in this database: | 2025/01/03 |
| Licence (German): |  Creative Commons - CC BY - Namensnennung 4.0 International |
