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ARG-NCTU
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Lifebuoy_dataset_2024

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train · 3.99k rows

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Lifebuoy Dataset for Object Detection

Overview

This dataset contains images of virtual lifebuoy for object detection tasks. It can be used to train and evaluate object detection models.

Demo Example:

Video available on video/lifebuoy_detection.mp4 or by clicking the image youtube link.

Dataset Structure

Data Instances

A data point comprises an image and its object annotations.

{'image_id': 1,
 'image': <PIL.PngImagePlugin.PngImageFile image mode=RGB size=640x480>,
 'image_path': 'images/Lifebuoy_Scene3_blur1_2.png',
 'width': 640,
 'height': 480,
 'objects': {'id': [1],
  'area': [7140.0],
  'bbox': [[303.0, 248.0, 119.0, 60.0]],
  'category': [0]}}

Data Fields

image_id: the image id
image: the PIL image
image_path: the image path
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 format)
- category: the object's category, with possible values including
  - Lifebuoy (0)

Data Splits

Training dataset (3992)
- Virtual
  - Lifebuoy (3992)
Val dataset (998)
- Virtual
  - Lifebuoy (998)

Usage

from datasets import load_dataset

dataset = load_dataset("ARG-NCTU/Lifebuoy_dataset_2024")

Downloads last month: 6

Size of downloaded dataset files:

1.91 GB

Size of the auto-converted Parquet files:

1.91 GB

Number of rows:

4,990