FOSSBot Object Detection dataset
Description
This dataset consists of synthetic images created for object detection tasks, featuring five target classes: a cactus, a traffic cone, a fire hydrant, a pallet, and a traffic light. The images were generated using NVIDIA Isaac Sim, where the target objects were spawned alongside various assets from NVIDIA Omniverse acting as environmental obstacles. The dataset includes automatically generated bounding box annotations in YOLO format, making it ready for immediate use in training object detection models. It was created specifically for the FOSSBot4AI course: https://put-jug.github.io/lab-intro-to-robotics/. EU funding disclaimer Funded by the European Union. Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or the European Education and Culture Executive Agency (EACEA). Neither the European Union nor EACEA can be held responsible for them.
Files
Steps to reproduce
To recreate the dataset please refer to the `dataset_collection` directory in our repository: https://github.com/LRMPUT/fossbot-object-detection
Categories
Funders
- European Union