DIRS24.v1

Citation Author(s):
Saurav
Kumar
Department of Electrical Engineering, IIT Roorkee
Ashutosh
Kumar
School of Engineering and Technology, Central University of Haryana
Sumathi
Parasuraman
Department of Electrical Engineering, IIT Roorkee
Submitted by:
Parasuraman Sumathi
Last updated:
Fri, 04/12/2024 - 07:20
DOI:
10.21227/q3hd-v088
Data Format:
*.jpg
License:
Creative Commons Attribution
390 Views
Categories:
Transportation
Image Processing
Computer Vision
Keywords:
object detection, image classification, Deep Learning algorithm, artificial intelligence
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Abstract 

DIRS24.v1 presents a dataset captured in campus environment. These images are curated suitably for the utilization in developing perception modules. These modules can be very well employed in Advanced Driver Assistance Systems (ADAS). The images of dataset are annotated in diversified formats such as COCO-MMDetection, Pascal-VOC, TensorFlow, YOLOv7-PyTorch, YOLOv8-Oriented Bounding Box, and YOLOv9.

 

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