|
--- |
|
dataset_info: |
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features: |
|
- name: image_id |
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dtype: int64 |
|
- name: image |
|
dtype: image |
|
- name: width |
|
dtype: int32 |
|
- name: height |
|
dtype: int32 |
|
- name: objects |
|
sequence: |
|
- name: id |
|
dtype: int64 |
|
- name: area |
|
dtype: int64 |
|
- name: bbox |
|
sequence: float32 |
|
length: 4 |
|
- name: category |
|
dtype: |
|
class_label: |
|
names: |
|
'0': animals |
|
'1': cat |
|
'2': chicken |
|
'3': cow |
|
'4': dog |
|
'5': fox |
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'6': goat |
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'7': horse |
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'8': person |
|
'9': racoon |
|
'10': skunk |
|
annotations_creators: |
|
- crowdsourced |
|
language_creators: |
|
- found |
|
language: |
|
- en |
|
license: |
|
- cc |
|
multilinguality: |
|
- monolingual |
|
size_categories: |
|
- 1K<n<10K |
|
source_datasets: |
|
- original |
|
task_categories: |
|
- object-detection |
|
task_ids: [] |
|
pretty_name: animals-ij5d2 |
|
tags: |
|
- rf100 |
|
--- |
|
|
|
# Dataset Card for animals-ij5d2 |
|
|
|
** The original COCO dataset is stored at `dataset.tar.gz`** |
|
|
|
## Dataset Description |
|
|
|
- **Homepage:** https://universe.roboflow.com/object-detection/animals-ij5d2 |
|
- **Point of Contact:** [email protected] |
|
|
|
### Dataset Summary |
|
|
|
animals-ij5d2 |
|
|
|
### Supported Tasks and Leaderboards |
|
|
|
- `object-detection`: The dataset can be used to train a model for Object Detection. |
|
|
|
### Languages |
|
|
|
English |
|
|
|
## Dataset Structure |
|
|
|
### Data Instances |
|
|
|
A data point comprises an image and its object annotations. |
|
|
|
``` |
|
{ |
|
'image_id': 15, |
|
'image': <PIL.JpegImagePlugin.JpegImageFile image mode=RGB size=640x640 at 0x2373B065C18>, |
|
'width': 964043, |
|
'height': 640, |
|
'objects': { |
|
'id': [114, 115, 116, 117], |
|
'area': [3796, 1596, 152768, 81002], |
|
'bbox': [ |
|
[302.0, 109.0, 73.0, 52.0], |
|
[810.0, 100.0, 57.0, 28.0], |
|
[160.0, 31.0, 248.0, 616.0], |
|
[741.0, 68.0, 202.0, 401.0] |
|
], |
|
'category': [4, 4, 0, 0] |
|
} |
|
} |
|
``` |
|
|
|
### Data Fields |
|
|
|
- `image`: the image id |
|
- `image`: `PIL.Image.Image` object containing the image. Note that when accessing the image column: `dataset[0]["image"]` the image file is automatically decoded. Decoding of a large number of image files might take a significant amount of time. Thus it is important to first query the sample index before the `"image"` column, *i.e.* `dataset[0]["image"]` should **always** be preferred over `dataset["image"][0]` |
|
- `width`: the image width |
|
- `height`: the image height |
|
- `objects`: a dictionary containing bounding box metadata for the objects present on the image |
|
- `id`: the annotation id |
|
- `area`: the area of the bounding box |
|
- `bbox`: the object's bounding box (in the [coco](https://albumentations.ai/docs/getting_started/bounding_boxes_augmentation/#coco) format) |
|
- `category`: the object's category. |
|
|
|
|
|
#### Who are the annotators? |
|
|
|
Annotators are Roboflow users |
|
|
|
## Additional Information |
|
|
|
### Licensing Information |
|
|
|
See original homepage https://universe.roboflow.com/object-detection/animals-ij5d2 |
|
|
|
### Citation Information |
|
|
|
``` |
|
@misc{ animals-ij5d2, |
|
title = { animals ij5d2 Dataset }, |
|
type = { Open Source Dataset }, |
|
author = { Roboflow 100 }, |
|
howpublished = { \url{ https://universe.roboflow.com/object-detection/animals-ij5d2 } }, |
|
url = { https://universe.roboflow.com/object-detection/animals-ij5d2 }, |
|
journal = { Roboflow Universe }, |
|
publisher = { Roboflow }, |
|
year = { 2022 }, |
|
month = { nov }, |
|
note = { visited on 2023-03-29 }, |
|
}" |
|
``` |
|
|
|
### Contributions |
|
|
|
Thanks to [@mariosasko](https://github.com/mariosasko) for adding this dataset. |
