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README.md
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This dataset contains images of boats for object detection tasks. It can be used to train and evaluate object detection models.
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## Dataset Structure
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The dataset is organized as follows:
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## Annotation Format
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The annotation files follow the PASCAL VOC format and contain bounding box annotations for each boat instance in the image.
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## Usage
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## Citation
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If you use this dataset in your research, please cite the following paper:
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This dataset contains images of boats for object detection tasks. It can be used to train and evaluate object detection models.
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## Dataset Structure
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### Data Instances
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A data point comprises an image and its object annotations.
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```
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```
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### Data Fields
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- `image_id`: the image id
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- `width`: the image width
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- `height`: the image height
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- `objects`: a dictionary containing bounding box metadata for the objects present on the image
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- `id`: the annotation id
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- `area`: the area of the bounding box
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- `bbox`: the object's bounding box (in the [coco](https://albumentations.ai/docs/getting_started/bounding_boxes_augmentation/#coco) format)
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- `category`: the object's category, with possible values including `BallonBoat` (0),`BigBoat` (1),`Boat` (2), `JetSki` (3), `Katamaran` (4), `SailBoat` (5), `SmallBoat` (6), `SpeedBoat` (7), and `WAM_V` (8).
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### Data Splits
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Training dataset (42833)
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- real
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- WAM_V (2333)
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- virtual
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- BallonBoat (4500)
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- BigBoat (4500)
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- Boat (4500)
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- JetSki (4500)
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- Katamaran (4500)
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- SailBoat (4500)
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- SmallBoat (4500)
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- SpeedBoat (4500)
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- WAM_V (4500)
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Val dataset (5400)
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- real
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- WAM_V (900)
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- virtual
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- BallonBoat (500)
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- BigBoat (500)
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- Boat (500)
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- JetSki (500)
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- Katamaran (500)
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- SailBoat (500)
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- SmallBoat (500)
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- SpeedBoat (500)
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- WAM_V (500)
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## Usage
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```
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from datasets import load_dataset
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dataset = load_dataset("zhuchi76/Boat_dataset")
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```
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## Citation
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If you use this dataset in your research, please cite the following paper:
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