IR Sensor
Object Detection
Dataset
2024
Dataset Overview
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A dataset for autonomous driving environments, captured using Hanwha Systems' QuantumRed thermal imaging camera across various conditions, times, and locations.
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Classes
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Person(0), Car(1), Truck(2), Bus(3), Bicycle(4) Bike(5), Extra_vehicle(6), Dog(7)
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Subset | Quantity | Image Availablity | Label Availablity | Publication |
|---|---|---|---|---|
Train | 7,018 | O | O | O |
Validation | 600 | O | O | O |
Test open | 1,636 | O | X | O |
Test private | 1,629 | X | X | X |
Annotation Format
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Annotations are structured in the MSCOCO data format, with each dataset comprising 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's bounding box in pixels(int),
"category_id" : Object class number(int),
"segmentation" : [] // Not currently used,
"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 copyright by us and published under the Creative Commons Attribution-NonCommercial 4.0 International.