| | --- |
| | dataset_info: |
| | features: |
| | - name: image_id |
| | 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 |
| | '6': goat |
| | '7': horse |
| | '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:** francesco.zuppichini@gmail.com |
| |
|
| | ### 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. |
