|
Download data(txt)/FallingThings/README.md from XiandaGuo/OpenStereo: direct link, hf CLI and curl.
- Browser
- Download file 1.31 kB
-
https://huggingface.co/XiandaGuo/OpenStereo/resolve/main/data(txt)/FallingThings/README.md
- Command line
-
hf download 'hf://XiandaGuo/OpenStereo/data(txt)/FallingThings/README.md'
-
curl -L -o README.md 'https://huggingface.co/XiandaGuo/OpenStereo/resolve/main/data(txt)/FallingThings/README.md'
1.31 kB
Prepare Falling Things Dataset
Falling Things Dataset is a synthetic dataset presented by NVIDIA.
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:
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.
@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}
}