README.md

---
annotations_creators: []
language: en
license: apache-2.0
size_categories:
- 1K<n<10K
task_categories:
- image-feature-extraction
- image-to-3d
task_ids: []
pretty_name: COIL-100
tags:
- fiftyone
- image
- clustering
dataset_summary: >



  ![image/png](dataset_preview.gif)



  This is a [FiftyOne](https://github.com/voxel51/fiftyone) dataset with 7200
  samples.


  ## Installation


  If you haven't already, install FiftyOne:


  ```bash

  pip install -U fiftyone

  ```


  ## Usage


  ```python

  import fiftyone as fo

  import fiftyone.utils.huggingface as fouh


  # Load the dataset

  # Note: other available arguments include 'max_samples', etc

  dataset = fouh.load_from_hub("Voxel51/COIL-100")


  # Launch the App

  session = fo.launch_app(dataset)

  ```
---

# Dataset Card for COIL-100


![image/png](dataset_preview.gif)


This is a [FiftyOne](https://github.com/voxel51/fiftyone) dataset with 7200 samples.

## Installation

If you haven't already, install FiftyOne:

```bash
pip install -U fiftyone
```

## Usage

```python
import fiftyone as fo
import fiftyone.utils.huggingface as fouh

# Load the dataset
# Note: other available arguments include 'max_samples', etc
dataset = fouh.load_from_hub("Voxel51/COIL-100")

# Launch the App
session = fo.launch_app(dataset)
```


## Dataset Details

### Dataset Description

There are 7,200 images of 100 objects. Each object was turned on a turnable through 360 degrees to vary object pose with respect to a fixed color camera. Images of the objects were taken at pose intervals of 5 degrees. This corresponds to 72 poses per object. There images were then size normalized. Objects have a wide variety of complex geometric and reflectance characteristics.


- **Curated by:** Center for Research on Intelligent Systems at the Depart
ment of Computer Science, Columbia University
- **Language(s) (NLP):** en
- **License:** apache-2.0

### Dataset Sources [optional]

<!-- Provide the basic links for the dataset. -->


- **Paper:** https://www1.cs.columbia.edu/CAVE/publications/pdfs/Nene_TR96_2.pdf
- **Homepage:** https://www.cs.columbia.edu/CAVE/software/softlib/coil-100.php

## Uses

This dataset is intended for non-commercial research purposes only. 



#### Data Collection and Processing

COIL-100 was collected by the Center for Research on Intelligent Systems at the Depart
ment of Computer Science, Columbia University. The database contains color images of 100 objects. The objects were placed on a motorized turntable against a black background and images were taken at pose internals of 5 degrees. This dataset was used in a real-time 100 object recognition system whereby a system sensor could identify the object and display its angular pose.


## Citation

**BibTeX:**

```bibtex
@article{nene1996columbia,
  title={Columbia object image library (coil-100)},
  author={Nene, Sameer A and Nayar, Shree K and Murase, Hiroshi},
  year={1996},
  publisher={Technical report CUCS-006-96}
}
```


## Dataset Card Authors

[Jacob Marks](https://huggingface.co/jamarks)