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jackd/modelnet10-poly_mesh.json

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dataset info files for [modelnet PR](https://github.com/tensorflow/datasets/pull/194)
Raw
modelnet10-poly_mesh.json
{
"citation": "@inproceedings{wu20153d,\n title={3d shapenets: A deep representation for volumetric shapes},\n author={Wu, Zhirong and Song, Shuran and Khosla, Aditya and Yu, Fisher and Zhang, Linguang and Tang, Xiaoou and Xiao, Jianxiong},\n booktitle={Proceedings of the IEEE conference on computer vision and pattern recognition},\n pages={1912--1920},\n year={2015}\n}\n",
"location": {
"urls": [
"http://modelnet.cs.princeton.edu/"
]
},
"name": "modelnet10",
"schema": {
"feature": [
{
"name": "example_index",
"type": "INT"
},
{
"name": "label",
"type": "INT"
},
{
"name": "mesh"
}
]
},
"sizeInBytes": "473402300",
"splits": [
{
"name": "test",
"numShards": "2",
"statistics": {
"features": [
{
"name": "example_index",
"numStats": {
"commonStats": {
"numNonMissing": "908"
},
"max": 988.0,
"min": 106.0
}
},
{
"name": "label",
"numStats": {
"commonStats": {
"numNonMissing": "908"
},
"max": 9.0
}
}
],
"numExamples": "908"
}
},
{
"name": "train",
"numShards": "10",
"statistics": {
"features": [
{
"name": "example_index",
"numStats": {
"commonStats": {
"numNonMissing": "3991"
},
"max": 888.0
}
},
{
"name": "label",
"numStats": {
"commonStats": {
"numNonMissing": "3991"
},
"max": 9.0
}
}
],
"numExamples": "3991"
}
}
],
"supervisedKeys": {
"input": "mesh",
"output": "label"
},
"version": "0.0.2"
}
Raw
modelnet10-tri_mesh.json
{
"citation": "@inproceedings{wu20153d,\n title={3d shapenets: A deep representation for volumetric shapes},\n author={Wu, Zhirong and Song, Shuran and Khosla, Aditya and Yu, Fisher and Zhang, Linguang and Tang, Xiaoou and Xiao, Jianxiong},\n booktitle={Proceedings of the IEEE conference on computer vision and pattern recognition},\n pages={1912--1920},\n year={2015}\n}\n",
"location": {
"urls": [
"http://modelnet.cs.princeton.edu/"
]
},
"name": "modelnet10",
"schema": {
"feature": [
{
"name": "example_index",
"type": "INT"
},
{
"name": "label",
"type": "INT"
},
{
"name": "mesh"
}
]
},
"sizeInBytes": "473402300",
"splits": [
{
"name": "test",
"numShards": "2",
"statistics": {
"features": [
{
"name": "example_index",
"numStats": {
"commonStats": {
"numNonMissing": "908"
},
"max": 988.0,
"min": 106.0
}
},
{
"name": "label",
"numStats": {
"commonStats": {
"numNonMissing": "908"
},
"max": 9.0
}
}
],
"numExamples": "908"
}
},
{
"name": "train",
"numShards": "10",
"statistics": {
"features": [
{
"name": "example_index",
"numStats": {
"commonStats": {
"numNonMissing": "3991"
},
"max": 888.0
}
},
{
"name": "label",
"numStats": {
"commonStats": {
"numNonMissing": "3991"
},
"max": 9.0
}
}
],
"numExamples": "3991"
}
}
],
"supervisedKeys": {
"input": "mesh",
"output": "label"
},
"version": "0.0.2"
}
Raw
modelnet40-poly_mesh.json
{
"citation": "@inproceedings{wu20153d,\n title={3d shapenets: A deep representation for volumetric shapes},\n author={Wu, Zhirong and Song, Shuran and Khosla, Aditya and Yu, Fisher and Zhang, Linguang and Tang, Xiaoou and Xiao, Jianxiong},\n booktitle={Proceedings of the IEEE conference on computer vision and pattern recognition},\n pages={1912--1920},\n year={2015}\n}\n",
"location": {
"urls": [
"http://modelnet.cs.princeton.edu/"
]
},
"name": "modelnet40",
"schema": {
"feature": [
{
"name": "example_index",
"type": "INT"
},
{
"name": "label",
"type": "INT"
},
{
"name": "mesh"
}
]
},
"sizeInBytes": "2039180837",
"splits": [
{
"name": "test",
"numShards": "2",
"statistics": {
"features": [
{
"name": "example_index",
"numStats": {
"commonStats": {
"numNonMissing": "2468"
},
"max": 988.0,
"min": 64.0
}
},
{
"name": "label",
"numStats": {
"commonStats": {
"numNonMissing": "2468"
},
"max": 39.0
}
}
],
"numExamples": "2468"
}
},
{
"name": "train",
"numShards": "10",
"statistics": {
"features": [
{
"name": "example_index",
"numStats": {
"commonStats": {
"numNonMissing": "9843"
},
"max": 888.0
}
},
{
"name": "label",
"numStats": {
"commonStats": {
"numNonMissing": "9843"
},
"max": 39.0
}
}
],
"numExamples": "9843"
}
}
],
"supervisedKeys": {
"input": "mesh",
"output": "label"
},
"version": "0.0.2"
}
Raw
modelnet40-tri_mesh.json
{
"citation": "@inproceedings{wu20153d,\n title={3d shapenets: A deep representation for volumetric shapes},\n author={Wu, Zhirong and Song, Shuran and Khosla, Aditya and Yu, Fisher and Zhang, Linguang and Tang, Xiaoou and Xiao, Jianxiong},\n booktitle={Proceedings of the IEEE conference on computer vision and pattern recognition},\n pages={1912--1920},\n year={2015}\n}\n",
"location": {
"urls": [
"http://modelnet.cs.princeton.edu/"
]
},
"name": "modelnet40",
"schema": {
"feature": [
{
"name": "example_index",
"type": "INT"
},
{
"name": "label",
"type": "INT"
},
{
"name": "mesh"
}
]
},
"sizeInBytes": "2039180837",
"splits": [
{
"name": "test",
"numShards": "2",
"statistics": {
"features": [
{
"name": "example_index",
"numStats": {
"commonStats": {
"numNonMissing": "2468"
},
"max": 988.0,
"min": 64.0
}
},
{
"name": "label",
"numStats": {
"commonStats": {
"numNonMissing": "2468"
},
"max": 39.0
}
}
],
"numExamples": "2468"
}
},
{
"name": "train",
"numShards": "10",
"statistics": {
"features": [
{
"name": "example_index",
"numStats": {
"commonStats": {
"numNonMissing": "9843"
},
"max": 888.0
}
},
{
"name": "label",
"numStats": {
"commonStats": {
"numNonMissing": "9843"
},
"max": 39.0
}
}
],
"numExamples": "9843"
}
}
],
"supervisedKeys": {
"input": "mesh",
"output": "label"
},
"version": "0.0.2"
}
Raw
modelnet_aligned40-poly_mesh.json
{
"citation": "@InProceedings{SB15,\n author = \"N. Sedaghat and T. Brox\",\n title = \"Unsupervised Generation of a Viewpoint Annotated Car Dataset from Videos\",\n booktitle = \"IEEE International Conference on Computer Vision (ICCV)\",\n year = \"2015\",\n url = \"http://lmb.informatik.uni-freiburg.de/Publications/2015/SB15\"\n}",
"location": {
"urls": [
"http://modelnet.cs.princeton.edu/",
"https://github.com/lmb-freiburg/orion"
]
},
"name": "modelnet_aligned40",
"schema": {
"feature": [
{
"name": "example_index",
"type": "INT"
},
{
"name": "label",
"type": "INT"
},
{
"name": "mesh"
}
]
},
"sizeInBytes": "2054373067",
"splits": [
{
"name": "test",
"numShards": "2",
"statistics": {
"features": [
{
"name": "example_index",
"numStats": {
"commonStats": {
"numNonMissing": "2468"
},
"max": 988.0,
"min": 64.0
}
},
{
"name": "label",
"numStats": {
"commonStats": {
"numNonMissing": "2468"
},
"max": 39.0
}
}
],
"numExamples": "2468"
}
},
{
"name": "train",
"numShards": "10",
"statistics": {
"features": [
{
"name": "example_index",
"numStats": {
"commonStats": {
"numNonMissing": "9843"
},
"max": 888.0
}
},
{
"name": "label",
"numStats": {
"commonStats": {
"numNonMissing": "9843"
},
"max": 39.0
}
}
],
"numExamples": "9843"
}
}
],
"supervisedKeys": {
"input": "mesh",
"output": "label"
},
"version": "0.0.2"
}
Raw
modelnet_aligned40-tri_mesh.json
{
"citation": "@InProceedings{SB15,\n author = \"N. Sedaghat and T. Brox\",\n title = \"Unsupervised Generation of a Viewpoint Annotated Car Dataset from Videos\",\n booktitle = \"IEEE International Conference on Computer Vision (ICCV)\",\n year = \"2015\",\n url = \"http://lmb.informatik.uni-freiburg.de/Publications/2015/SB15\"\n}",
"location": {
"urls": [
"http://modelnet.cs.princeton.edu/",
"https://github.com/lmb-freiburg/orion"
]
},
"name": "modelnet_aligned40",
"schema": {
"feature": [
{
"name": "example_index",
"type": "INT"
},
{
"name": "label",
"type": "INT"
},
{
"name": "mesh"
}
]
},
"sizeInBytes": "2054373067",
"splits": [
{
"name": "test",
"numShards": "2",
"statistics": {
"features": [
{
"name": "example_index",
"numStats": {
"commonStats": {
"numNonMissing": "2468"
},
"max": 988.0,
"min": 64.0
}
},
{
"name": "label",
"numStats": {
"commonStats": {
"numNonMissing": "2468"
},
"max": 39.0
}
}
],
"numExamples": "2468"
}
},
{
"name": "train",
"numShards": "10",
"statistics": {
"features": [
{
"name": "example_index",
"numStats": {
"commonStats": {
"numNonMissing": "9843"
},
"max": 888.0
}
},
{
"name": "label",
"numStats": {
"commonStats": {
"numNonMissing": "9843"
},
"max": 39.0
}
}
],
"numExamples": "9843"
}
}
],
"supervisedKeys": {
"input": "mesh",
"output": "label"
},
"version": "0.0.2"
}
Raw
modelnet_sampled-c10.json
{
"citation": "@article{qi2017pointnetplusplus,\n title={PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space},\n author={Qi, Charles R and Yi, Li and Su, Hao and Guibas, Leonidas J},\n journal={arXiv preprint arXiv:1706.02413},\n year={2017}\n }\n",
"location": {
"urls": [
"http://modelnet.cs.princeton.edu/",
"http://stanford.edu/~rqi/pointnet2/"
]
},
"name": "modelnet_sampled",
"schema": {
"feature": [
{
"name": "cloud"
},
{
"name": "example_index",
"type": "INT"
},
{
"name": "label",
"type": "INT"
}
]
},
"sizeInBytes": "1705117335",
"splits": [
{
"name": "test",
"numShards": "1",
"statistics": {
"features": [
{
"name": "example_index",
"numStats": {
"commonStats": {
"numNonMissing": "908"
},
"max": 988.0,
"min": 106.0
}
},
{
"name": "label",
"numStats": {
"commonStats": {
"numNonMissing": "908"
},
"max": 9.0
}
}
],
"numExamples": "908"
}
},
{
"name": "train",
"numShards": "4",
"statistics": {
"features": [
{
"name": "example_index",
"numStats": {
"commonStats": {
"numNonMissing": "3991"
},
"max": 888.0
}
},
{
"name": "label",
"numStats": {
"commonStats": {
"numNonMissing": "3991"
},
"max": 9.0
}
}
],
"numExamples": "3991"
}
}
],
"supervisedKeys": {
"input": "cloud",
"output": "label"
},
"version": "0.0.1"
}
Raw
modelnet_sampled-c40.json
{
"citation": "@article{qi2017pointnetplusplus,\n title={PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space},\n author={Qi, Charles R and Yi, Li and Su, Hao and Guibas, Leonidas J},\n journal={arXiv preprint arXiv:1706.02413},\n year={2017}\n }\n",
"location": {
"urls": [
"http://modelnet.cs.princeton.edu/",
"http://stanford.edu/~rqi/pointnet2/"
]
},
"name": "modelnet_sampled",
"schema": {
"feature": [
{
"name": "cloud"
},
{
"name": "example_index",
"type": "INT"
},
{
"name": "label",
"type": "INT"
}
]
},
"sizeInBytes": "1705117335",
"splits": [
{
"name": "test",
"numShards": "4",
"statistics": {
"features": [
{
"name": "example_index",
"numStats": {
"commonStats": {
"numNonMissing": "2468"
},
"max": 988.0,
"min": 64.0
}
},
{
"name": "label",
"numStats": {
"commonStats": {
"numNonMissing": "2468"
},
"max": 39.0
}
}
],
"numExamples": "2468"
}
},
{
"name": "train",
"numShards": "16",
"statistics": {
"features": [
{
"name": "example_index",
"numStats": {
"commonStats": {
"numNonMissing": "9843"
},
"max": 888.0
}
},
{
"name": "label",
"numStats": {
"commonStats": {
"numNonMissing": "9843"
},
"max": 39.0
}
}
],
"numExamples": "9843"
}
}
],
"supervisedKeys": {
"input": "cloud",
"output": "label"
},
"version": "0.0.1"
}
Raw
shapenet_part2017.json
{
"citation": "@article{yi2017large,\n title={Large-scale 3d shape reconstruction and segmentation from shapenet core55},\n author={Yi, Li and Shao, Lin and Savva, Manolis and Huang, Haibin and Zhou, Yang and Wang, Qirui and Graham, Benjamin and Engelcke, Martin and Klokov, Roman and Lempitsky, Victor and others},\n journal={arXiv preprint arXiv:1710.06104},\n year={2017}\n}",
"description": "ICCV2017 point cloud segmentation challenge",
"location": {
"urls": [
"https://www.shapenet.org/",
"https://shapenet.cs.stanford.edu/iccv17/"
]
},
"name": "shapenet_part2017",
"schema": {
"feature": [
{
"name": "cloud"
},
{
"name": "example_id",
"type": "BYTES"
},
{
"name": "label",
"type": "INT"
}
]
},
"sizeInBytes": "706988960",
"splits": [
{
"name": "test",
"numShards": "4",
"statistics": {
"features": [
{
"bytesStats": {
"commonStats": {
"numNonMissing": "2874"
}
},
"name": "example_id",
"type": "BYTES"
},
{
"name": "label",
"numStats": {
"commonStats": {
"numNonMissing": "2874"
},
"max": 15.0
}
}
],
"numExamples": "2874"
}
},
{
"name": "train",
"numShards": "16",
"statistics": {
"features": [
{
"bytesStats": {
"commonStats": {
"numNonMissing": "12137"
}
},
"name": "example_id",
"type": "BYTES"
},
{
"name": "label",
"numStats": {
"commonStats": {
"numNonMissing": "12137"
},
"max": 15.0
}
}
],
"numExamples": "12137"
}
},
{
"name": "validation",
"numShards": "2",
"statistics": {
"features": [
{
"bytesStats": {
"commonStats": {
"numNonMissing": "1870"
}
},
"name": "example_id",
"type": "BYTES"
},
{
"name": "label",
"numStats": {
"commonStats": {
"numNonMissing": "1870"
},
"max": 15.0
}
}
],
"numExamples": "1870"
}
}
],
"supervisedKeys": {
"input": "cloud",
"output": "label"
},
"version": "0.0.1"
}
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