Datasets:
ArXiv:
License:
| license: cc-by-sa-4.0 | |
| task_categories: | |
| - object-detection | |
| tags: | |
| - 6d-pose-estimation | |
| - model-based | |
| - model-free | |
| - object-detection | |
| The BOP Challenge 2024 datasets and evaluation methodology are described in the paper [BOP Challenge 2024 on Model-Based and Model-Free 6D Object Pose Estimation](https://huggingface.co/papers/2504.02812). This challenge focuses on 6D object pose estimation in real-world scenarios, including model-based and model-free tasks. The datasets and evaluation tools are designed to support both model-based and model-free approaches, and include high-resolution data collected with AR/VR headsets. More information about the datasets and challenge can be found on the project website: [http://bop.felk.cvut.cz/](http://bop.felk.cvut.cz/). |