Datasets:
Tasks:
Object Detection
Modalities:
Image
Formats:
imagefolder
Languages:
English
Size:
1K - 10K
License:
license: cc-by-nc-2.0 | |
task_categories: | |
- object-detection | |
language: | |
- en | |
tags: | |
- cellphone | |
- mobile phone | |
- phone | |
- cell phone | |
pretty_name: Cellphones in the Wild | |
# Dataset Card for Cellphones in the Wild | |
CITW is a small dataset that contains bounding box annotations of cellphones in images. | |
## Dataset Details | |
### Dataset Description | |
CITW (Cellphones in the Wild) is a collection of images that contain one or more cell | |
phones in them, along with their corresponding bounding box annotations. CITW was distiled | |
from COCO 2017, where only the images and annotations containing a cellphone were kept. The | |
structure and annotations were adapted from COCO to be Huggingface compatible. | |
- **Curated by:** Michael Grüner <[[email protected]](mailto:[email protected])> | |
- **Funded by:** [RidgeRun.ai](www.ridgerun.ai) | |
- **License:** CC-BY-NC-2.0 | |
### Dataset Sources | |
- **Repository:** [https://huggingface.co/datasets/ridgerun-ai/citw-v0.1](https://huggingface.co/datasets/ridgerun-ai/citw-v0.1) | |
- **Demo:** TBD | |
## Uses | |
### Direct Use | |
CITW is meant to be used to train cellphone detectors. | |
### Out-of-Scope Use | |
The dataset only contains samples of mobile phones, and will not work for other types of phones, like office, faxes, or public phones. | |
## Dataset Structure | |
The dataset can be found within the `data` directory. It contains two splits: `train` and `val`, which are represented as subdirectories. | |
Within each split, you'll find the images in JPEG format, as well as a `metadata.jsonl` file. | |
The `metadata.jsonl` contains one entry per line. Each entry represents an image. The annotations can be found under the `objects` object. | |
This object contains a list of bounding boxes (which itself is a list), and a list of categories (which there is only one: 0). | |
A single bounding box is annotated as: `[x, y, width, height]`. | |
There is a single category: 0, which corresponds evidently to the cellphone class. | |
### Entry Example | |
An example of a single entry is: | |
``` | |
{ | |
"file_name": "000000253967.jpg", | |
"objects": { | |
"bbox": [ | |
[16.31, 104.46, 33.54, 43.17], | |
[277.55, 146.1, 17.99, 58.69], | |
[436.56, 130.99, 23.33, 42.09] | |
], | |
"categories": [0, 0, 0] | |
} | |
} | |
``` | |
In this example, the image contains 3 cellphones. This is reflected in the 3 bounding boxes and the list of 3 cellphone categories. | |
## Dataset Creation | |
### Source Data | |
#### Data Collection and Processing | |
The dataset is a distillation of COCO2017. The repository contains a `coco2citw.py` script that automates this process. | |
#### Who are the source data producers? | |
Plase refer to the [COCO Challenge homepage](https://cocodataset.org/#home) for information of the original production process. | |
#### Personal and Sensitive Information | |
To the best of our knowledge, there are no personal and sensitive information in this dataset. | |
## Bias, Risks, and Limitations | |
This dataset is limited to cellphone models that were produced before 2017. Similar objects (like walkie-talkies, | |
portable game consoles or calculatores) may be eventually confused. | |
## Glossary | |
CITW: Cellphones in the Wild | |
## Dataset Card Authors | |
Michael Grüner <[[email protected]](mailto:[email protected])> | |
## Dataset Card Contact | |
RidgeRun.ai <[[email protected]](mailto:[email protected])> |