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| # Prepare Falling Things Dataset | |
| Falling Things Dataset is a synthetic dataset presented by NVIDIA. </br> | |
| The dataset contains 60k annotated photos of 21 household objects taken from the YCB dataset.For each image, it contains the 3D poses, per-pixel class segmentation, and 2D/3D bounding box coordinates for all objects.The dataset provide mono and stereo RGB images, along with registered dense depth images. | |
| Dataset can be downloaded at the following website: https://research.nvidia.com/publication/2018-06_falling-things-synthetic-dataset-3d-object-detection-and-pose-estimation | |
| The directory structure should be: | |
| ```text | |
| FallingThings | |
| βββ fat | |
| | βββ mixed | |
| | | βββ kitchen_0 | |
| | | βββ kitchen_1 | |
| | | βββ kitchen_2 | |
| ... | |
| | βββ single | |
| | | βββ 002_master_chef_can_16k | |
| | | βββ 003_cracker_box_16k | |
| ... | |
| ``` | |
| _Optionally you can write your own txt file and use all the parts of the dataset._ | |
| ```bibtex | |
| @inproceedings{tremblay2018falling, | |
| title={Falling things: A synthetic dataset for 3d object detection and pose estimation}, | |
| author={Tremblay, Jonathan and To, Thang and Birchfield, Stan}, | |
| booktitle={Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops}, | |
| pages={2038--2041}, | |
| year={2018} | |
| } | |
| ``` |