coil100
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The dataset contains 7200 color images of 100 objects (72 images per object).
The objects have a wide variety of complex geometric and reflectance
characteristics. The objects were placed on a motorized turntable against a
black background. The turntable was rotated through 360 degrees to vary object
pose with respect to a fxed color camera. Images of the objects were taken at
pose intervals of 5 degrees.This corresponds to 72 poses per object
Split |
Examples |
'train' |
7,200 |
FeaturesDict({
'angle': int64,
'angle_label': ClassLabel(shape=(), dtype=int64, num_classes=72),
'image': Image(shape=(128, 128, 3), dtype=uint8),
'object_id': ClassLabel(shape=(), dtype=int64, num_classes=100),
})
Feature |
Class |
Shape |
Dtype |
Description |
|
FeaturesDict |
|
|
|
angle |
Tensor |
|
int64 |
|
angle_label |
ClassLabel |
|
int64 |
|
image |
Image |
(128, 128, 3) |
uint8 |
|
object_id |
ClassLabel |
|
int64 |
|

@article{nene1996columbia,
title={Columbia object image library (coil-20)},
author={Nene, Sameer A and Nayar, Shree K and Murase, Hiroshi and others},
year={1996},
publisher={Technical report CUCS-005-96}
}
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Last updated 2022-11-23 UTC.
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Missing the information I need","missingTheInformationINeed","thumb-down"],["Too complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2022-11-23 UTC."],[],[],null,["# coil100\n\n\u003cbr /\u003e\n\n- **Description**:\n\nThe dataset contains 7200 color images of 100 objects (72 images per object).\nThe objects have a wide variety of complex geometric and reflectance\ncharacteristics. The objects were placed on a motorized turntable against a\nblack background. The turntable was rotated through 360 degrees to vary object\npose with respect to a fxed color camera. Images of the objects were taken at\npose intervals of 5 degrees.This corresponds to 72 poses per object\n\n- **Homepage** :\n \u003chttp://www.cs.columbia.edu/CAVE/software/softlib/coil-100.php\u003e\n\n- **Source code** :\n [`tfds.datasets.coil100.Builder`](https://github.com/tensorflow/datasets/tree/master/tensorflow_datasets/datasets/coil100/coil100_dataset_builder.py)\n\n- **Versions**:\n\n - `1.0.0`: Initial release\n - **`2.0.0`** (default): Change features (`object_id` is now `ClassLabel`, rename `label` -\\\u003e `angle_label`, add `angle`)\n- **Download size** : `124.63 MiB`\n\n- **Dataset size** : `124.74 MiB`\n\n- **Auto-cached**\n ([documentation](https://www.tensorflow.org/datasets/performances#auto-caching)):\n Yes\n\n- **Splits**:\n\n| Split | Examples |\n|-----------|----------|\n| `'train'` | 7,200 |\n\n- **Feature structure**:\n\n FeaturesDict({\n 'angle': int64,\n 'angle_label': ClassLabel(shape=(), dtype=int64, num_classes=72),\n 'image': Image(shape=(128, 128, 3), dtype=uint8),\n 'object_id': ClassLabel(shape=(), dtype=int64, num_classes=100),\n })\n\n- **Feature documentation**:\n\n| Feature | Class | Shape | Dtype | Description |\n|-------------|--------------|---------------|-------|-------------|\n| | FeaturesDict | | | |\n| angle | Tensor | | int64 | |\n| angle_label | ClassLabel | | int64 | |\n| image | Image | (128, 128, 3) | uint8 | |\n| object_id | ClassLabel | | int64 | |\n\n- **Supervised keys** (See\n [`as_supervised` doc](https://www.tensorflow.org/datasets/api_docs/python/tfds/load#args)):\n `('image', 'angle_label')`\n\n- **Figure**\n ([tfds.show_examples](https://www.tensorflow.org/datasets/api_docs/python/tfds/visualization/show_examples)):\n\n- **Examples** ([tfds.as_dataframe](https://www.tensorflow.org/datasets/api_docs/python/tfds/as_dataframe)):\n\nDisplay examples... \n\n- **Citation**:\n\n @article{nene1996columbia,\n title={Columbia object image library (coil-20)},\n author={Nene, Sameer A and Nayar, Shree K and Murase, Hiroshi and others},\n year={1996},\n publisher={Technical report CUCS-005-96}\n }"]]