zhuchi76/Boat_dataset
This dataset contains real and synthetic boat images for object detection tasks. The dataset structure includes images and object annotations, with fields such as image_id, width, height, and objects. It is split into training and validation sets, each further divided into real and synthetic subsets, covering various boat categories such as BallonBoat, BigBoat, Boat, JetSki, Katamaran, SailBoat, SmallBoat, SpeedBoat, and WAM_V.
Description
Boat Dataset for Object Detection Overview
Dataset Structure
Data Instance
- Composition: Each data point consists of an image and its object annotations.
Data Fields
- image_id: Image ID
- width: Image width
- height: Image height
- objects: Dictionary containing object bounding‑box metadata
- id: Annotation ID
- area: Bounding‑box area
- bbox: Object bounding box (COCO format)
- category: Object category, possible values include:
BallonBoat(0)BigBoat(1)Boat(2)JetSki(3)Katamaran(4)SailBoat(5)SmallBoat(6)SpeedBoat(7)WAM_V(8)
Data Split
-
Training Set (42833)
- Real Data
WAM_V(2333)
- Synthetic Data
BallonBoat(4500)BigBoat(4500)Boat(4500)JetSki(4500)Katamaran(4500)SailBoat(4500)SmallBoat(4500)SpeedBoat(4500)WAM_V(4500)
- Real Data
-
Validation Set (5400)
- Real Data
WAM_V(900)
- Synthetic Data
BallonBoat(500)BigBoat(500)Boat(500)JetSki(500)Katamaran(500)SailBoat(500)SmallBoat(500)SpeedBoat(500)WAM_V(500)
- Real Data
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Topics
Source
Organization: hugging_face
Created: Unknown
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