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IR Sensor
Instance
Segmentation

Dataset

2025

Dataset Overview

  • This dataset is designed for autonomous driving environments and was captured using the Hanwha Systems' QuantumRed Thermal Imaging Camera across diverse conditions, times, and locations. 

  • The 2025 instance segmentation dataset is derived by sampling a portion of the dataset using in the 2024 Object Detection Challenge.

  • Classes

    • Person(0), Car(1), Truck(2), Bus(3), Bicycle(4) Bike(5), Extra_vehicle(6), Dog(7)​

Subset
Quantity
Image Availablity
Label Availablity
Publication
Train
5,937
O
O
O
Validation
600
O
O
O
Test open
1,636
O
X
O
Test private
1,629
X
X
X

​​​​Annotation Format

  • Annotation are structured in the MSCOCO format, with each dataset represented by a single JSON file.

{

"images":[

{

"file_name" : Image name(str),

"height" : Image height(int),

"width" : Image width(int),

"id" : Unique image ID(int)

}, ...

],

"annotations":[

{

"id" : Unique object ID(int),

"image_id": ID of the image containing the object(int),

"bbox" : [

X-coordinate of the top-left points of the object's bounding box(int),

Y-coordinate of the top-left points of the object's bounding box(int),

Width of the object's bounding box(int),

Height of the object's bounding box(int)

],

"area" : Area of the Object in Pixels (int),

"category_id" : Object class number(int),

"segmentations" : [

[

The X-coordinate of the points that make up the polygon,

The Y-coordinate of the points that make up the polygon,

The X-coordinate of the points that make up the polygon,

The Y-coordinate of the points that make up the polygon,

...

],

[

The X-coordinate of the points that make up the polygon,

The Y-coordinate of the points that make up the polygon,

...

],

...

],

"iscrowded" : 0 //not currently used

}, ...

],

"categories":[

{

"supercategory" : Object class supercategory (str),

"id" : Unique ID of the object class(int),

"name" : Name of the object class(str)

}, ...

]

}

License

All datasets and benchmarks on this page are copyrighted by Hanwha Systems  Co., and published under the Creative Commons Attribution-NonCommercial 4.0 International.

Copyright © 2025 Hanwha Systems Co., Ltd. All rights reserved.

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