| --- |
| 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': cable-damage |
| '1': break |
| '2': thunderbolt |
| 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: cable-damage |
| tags: |
| - rf100 |
| --- |
| |
| # Dataset Card for cable-damage |
|
|
| ** The original COCO dataset is stored at `dataset.tar.gz`** |
|
|
| ## Dataset Description |
|
|
| - **Homepage:** https://universe.roboflow.com/object-detection/cable-damage |
| - **Point of Contact:** francesco.zuppichini@gmail.com |
|
|
| ### Dataset Summary |
|
|
| cable-damage |
|
|
| ### 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/cable-damage |
|
|
| ### Citation Information |
|
|
| ``` |
| @misc{ cable-damage, |
| title = { cable damage Dataset }, |
| type = { Open Source Dataset }, |
| author = { Roboflow 100 }, |
| howpublished = { \url{ https://universe.roboflow.com/object-detection/cable-damage } }, |
| url = { https://universe.roboflow.com/object-detection/cable-damage }, |
| 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. |
