metadata
license: cc-by-4.0
pretty_name: IPD
Industrial Plenoptic Dataset (IPD)
To download the data and extract it into BOP format simply execute:
export SRC=https://huggingface.co/datasets/bop-benchmark
wget $SRC/ipd/resolve/main/ipd_base.zip # Base archive with camera parameters, etc
wget $SRC/ipd/resolve/main/ipd_models.zip # 3D object models
wget $SRC/ipd/resolve/main/ipd_val.zip # Validation images
wget $SRC/ipd/resolve/main/ipd_test_all.zip # All test images part 1
wget $SRC/ipd/resolve/main/ipd_test_all.z01 # All test images part 2
wget $SRC/ipd/resolve/main/ipd_train_pbr.zip # PBR training images part 1
wget $SRC/ipd/resolve/main/ipd_train_pbr.z01 # PBR training images part 2
wget $SRC/ipd/resolve/main/ipd_train_pbr.z02 # PBR training images part 3
wget $SRC/ipd/resolve/main/ipd_train_pbr.z03 # PBR training images part 4
7z x ipd_base.zip # Contains folder "ipd"
7z x ipd_models.zip -oipd # Unpacks to "ipd"
7z x ipd_val.zip -oipd # Unpacks to "ipd"
7z x ipd_test_all.zip -oipd # Unpacks to "ipd"
7z x ipd_train_pbr.zip -oipd # Unpacks to "ipd"
If you downloaded the ipd_train_pbr files before March 20, please also download and unzip ipd_train_pbr_patch.zip!
Dataset parameters
- Objects: 10
- Object models: Mesh models
- Modalities: Three cameras are placed in each scene. Image, depth, angle of linear polarization (AOLP), and degree of linear polarization (DOLP) data are rendered for each camera.
Training PBR images splits
Scenes 000000–000024 contain objects 0, 8, 18, 19, 20.
Scenes 000025–000049 contain objects 1, 4, 10, 11, 14.
Dataset format
General information about the dataset format can be found in: https://github.com/thodan/bop_toolkit/blob/master/docs/bop_datasets_format.md
References
[1] Agastya Kalra, Guy Stoppi, Dmitrii Marin, Vage Taamazyan, Aarrushi Shandilya, Rishav Agarwal, Anton Boykov, Tze Hao Chong, Michael Stark; Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024, pp. 22691-22701