| license: apache-2.0 | |
| language: | |
| - en | |
| tags: | |
| - biology | |
| size_categories: | |
| - 100M<n<1B | |
| # README | |
| ## Overview | |
| This project contains human perceived optical flow/motion data derived from images obtained from several third-party benchmark datasets. The images and labels used in this project originate from these publicly available datasets. **Before using any images or labels, please consult and comply with the respective licenses and usage agreements provided on their official websites.** | |
| This project is intended for research and non-commercial use only. If you plan to use any of the data for commercial purposes, you must first obtain proper authorization from the respective dataset providers. | |
| ## Third-Party Datasets and Reference Websites | |
| The project makes use of the following 10 benchmark datasets: | |
| 1. **KITTI** | |
| - **Website:** [http://www.cvlibs.net/datasets/kitti/](http://www.cvlibs.net/datasets/kitti/) | |
| - **Description:** The KITTI dataset, developed by the Karlsruhe Institute of Technology and its industry partners, is widely used for stereo vision, optical flow, and SLAM research. | |
| 2. **Virtual KITTI 2** | |
| - **Website:** [https://europe.naverlabs.com/Research/Computer-Vision/Proxy-Virtual-Worlds/Virtual-KITTI-2](https://europe.naverlabs.com/Research/Computer-Vision/Proxy-Virtual-Worlds/Virtual-KITTI-2) | |
| - **Description:** Virtual KITTI 2 is a synthetic version of the KITTI dataset, offering controllable conditions and diverse scenarios for optical flow and scene understanding experiments. | |
| 3. **MPI Sintel (NV version)** | |
| - **Website:** [https://sintel.is.tue.mpg.de/](https://sintel.is.tue.mpg.de/) | |
| - **Description:** Based on the open-source animated film "Sintel," this dataset is designed for optical flow evaluation with challenging motion, occlusions, and realistic rendering. | |
| 4. **VIPER** | |
| - **Website:** [https://playing-for-benchmarks.org/dataset_viper.html](https://playing-for-benchmarks.org/dataset_viper.html) | |
| - **Description:** VIPER (Virtual Panoramic Environment Rendering) provides synthetic urban driving scenarios with comprehensive annotations, including optical flow, for multi-task vision research. | |
| 5. **Spring** | |
| - **Website:** [https://lmb.informatik.uni-freiburg.de/resources/datasets/SceneFlowDatasets.en.html](https://lmb.informatik.uni-freiburg.de/resources/datasets/SceneFlowDatasets.en.html) | |
| - **Description:** Part of the Scene Flow Datasets, Spring offers synthetic data generated from 3D scenes, which is useful for training and evaluating optical flow and related algorithms. | |
| 6. **Monkaa** | |
| - **Website:** [https://lmb.informatik.uni-freiburg.de/resources/datasets/SceneFlowDatasets.en.html](https://lmb.informatik.uni-freiburg.de/resources/datasets/SceneFlowDatasets.en.html) | |
| - **Description:** Also from the Scene Flow Datasets, Monkaa provides synthetic sequences from a Blender open-source project, suitable for optical flow, stereo matching, and depth estimation research. | |
| 7. **MHOF** | |
| - **Website:** [https://humanflow.is.tue.mpg.de/](https://humanflow.is.tue.mpg.de/) | |
| - **Description:** The MHOF dataset is focused on multi-human optical flow. Users should consult the original resource for complete details regarding its usage and licensing. | |
| 8. **Driving** | |
| - **Website:** [https://lmb.informatik.uni-freiburg.de/resources/datasets/SceneFlowDatasets.en.html](https://lmb.informatik.uni-freiburg.de/resources/datasets/SceneFlowDatasets.en.html) | |
| - **Description:** The Driving dataset, also part of the Scene Flow Datasets, provides synthetic driving sequences with annotations for optical flow and other computer vision tasks. | |
| 9. **FlyingThings3D** | |
| - **Website:** [https://lmb.informatik.uni-freiburg.de/resources/datasets/SceneFlowDatasets.en.html](https://lmb.informatik.uni-freiburg.de/resources/datasets/SceneFlowDatasets.en.html) | |
| - **Description:** FlyingThings3D is a large-scale synthetic dataset featuring numerous 3D objects in motion. It is designed to offer challenging optical flow scenarios and support research in 3D scene understanding. | |
| 10. **TartanAir** | |
| - **Website:** [https://theairlab.org/tartanair-dataset/](https://theairlab.org/tartanair-dataset/) | |
| - **Description:** Developed by the AIR Lab at Carnegie Mellon University, TartanAir offers a diverse range of indoor and outdoor synthetic environments with annotations for optical flow, depth, and semantic segmentation, suitable for multi-task learning. | |
| ## Data Usage Guidelines | |
| 1. **Third-Party Data Rights:** | |
| - The images and labels provided in this project are subject to the licenses and usage agreements of their original sources. | |
| - Please review the official documentation or websites for each dataset to ensure compliance with their terms of use. | |
| - For commercial usage, secure the necessary permissions from the dataset providers. | |
| 2. **Project-Specific Data:** | |
| - Any additional annotations or modifications (e.g., the human perceived optical flow/motion labels) generated in this project are provided under the project’s own license (refer to the LICENSE file for details). | |
| - When citing or reusing this project’s contributions, please give proper attribution. | |
| 3. **Disclaimer:** | |
| - This project is not responsible for any legal or operational issues arising from the use of third-party data. | |
| - Users are solely responsible for ensuring that their use of the data complies with all relevant laws, guidelines, and licenses. | |
| ## Reference & Contact | |
| Please visit the provided links for the latest details on dataset usage policies, updates, and additional resources. | |
| Thank you for your interest in this project and for respecting the intellectual property rights of the original dataset providers. | |
| Project Web: | |
| https://github.com/KUCognitiveInformaticsLab/Huperflow-Website/tree/main | |