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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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- - `images/`: This directory contains the boat images in JPG format.
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- - `annotations/`: This directory contains the annotation files for each image in XML format.
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- - `train.txt`: This file lists the file paths of the images used for training.
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- - `test.txt`: This file lists the file paths of the images used for testing.
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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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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- To use this dataset, you can download the images and annotations from the following link: [Download Dataset](https://example.com/boat_dataset.zip)
 
 
 
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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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+
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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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+
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+ ```
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+
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+ ### Data Fields
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+
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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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+
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+
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+ ### Data Splits
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+
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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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+
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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: