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YAML Metadata
Warning:
empty or missing yaml metadata in repo card
(https://huggingface.co/docs/hub/datasets-cards)
Real Lifebuoy Dataset for Object Detection
Overview
This dataset contains images of real lifebuoy for object detection tasks. It can be used to train and evaluate object detection models.
Demo Example 1:
The video is available on video/detr_finetuned_2.mp4 or by clicking the image youtube link.
Demo Example 2:
Left hand side: 1th finetuned with virtual dataset Right hand side: 2nd further finetuned with real dataset
The video is available on video/detr_finetuned_1vs2.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 at 0x7781535B67C0>
'image_path': 'images/2024-10-23-20-57-55_mid_305.png',
'width': 640,
'height': 480,
'objects':
{
'id': [1],
'area': [4110.0],
'bbox': [[262.0, 312.0, 137.0, 30.0]],
'category': [0]
},
}
Data Fields
image_id
: the image idwidth
: the image widthheight
: the image heightobjects
: a dictionary containing bounding box metadata for the objects present on the imageid
: the annotation idarea
: the area of the bounding boxbbox
: the object's bounding box (in the coco format)category
: the object's category, with possible values includingLifebuoy
(0)
Data Splits
Training dataset
(540)Real
Lifebuoy
(540)
Val dataset
(135)Real
Lifebuoy
(135)
Usage
from datasets import load_dataset
dataset = load_dataset("ARG-NCTU/Real_Lifebuoy_dataset_2024")
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