#### NOTE
This is a **Hugging Face dataset**. For large datasets, ensure `huggingface_hub>=1.1.3` to avoid rate limits. Learn more in the <a href="https://docs.voxel51.com/integrations/huggingface.html#loading-datasets-from-the-hub" target="_blank">Hugging Face integration docs</a>.

<a href="https://huggingface.co/datasets/Voxel51/COIL-100" target="_blank">![Hugging Face](https://img.shields.io/badge/%F0%9F%A4%97%20Hugging%20Face-Dataset-yellow)</a>

# Dataset Card for COIL-100

![image/png](https://huggingface.co/datasets/Voxel51/COIL-100/resolve/main/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)