Dataset assetOpen Source CommunityObject DetectionShip Identification

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.

Source

hugging_face

Created

Nov 28, 2025

Updated

Apr 14, 2024

Signals

100 views

Availability

Linked source ready

Overview

Dataset description and usage context

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)
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)

Need downstream help?

Pair the dataset with AI analysis and content workflows.

Once the source passes your review, move straight into summarization, transformation, report drafting, or presentation generation with the JuheAI toolchain.

Explore AI studio