There exist several commonly used datasets in relation to object detection that include COCO (with multiple versions) and ImageNet containing large annotations for 80 and 1000 objects (i.e. classes) respectively. However, very limited datasets are available comprising specific objects identified by visually imapeired people (VIP) such as wheel-bins, trash-Bags, e-Scooters, advertising boards, and bollard. Furthermore, the annotations for these objects are not available in existing sources.

DOI Link: 
10.21227/sm6r-nb95
Links or DOI: 
Outdoor mobility aid for people with visual impairment: Obstacle detection and responsive framework for the scene perception dur
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[1] Wasiq Khan, "Image dataset comprising objects and obstacles in outdoor mobility of people with visual impairment", IEEE Dataport, 2021. [Online]. Available: http://dx.doi.org/10.21227/sm6r-nb95. Accessed: Oct. 07, 2024.
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doi = {10.21227/sm6r-nb95},
url = {http://dx.doi.org/10.21227/sm6r-nb95},
author = {Wasiq Khan },
publisher = {IEEE Dataport},
title = {Image dataset comprising objects and obstacles in outdoor mobility of people with visual impairment},
year = {2021} }
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T1 - Image dataset comprising objects and obstacles in outdoor mobility of people with visual impairment
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Wasiq Khan. (2021). Image dataset comprising objects and obstacles in outdoor mobility of people with visual impairment. IEEE Dataport. http://dx.doi.org/10.21227/sm6r-nb95
Wasiq Khan, 2021. Image dataset comprising objects and obstacles in outdoor mobility of people with visual impairment. Available at: http://dx.doi.org/10.21227/sm6r-nb95.
Wasiq Khan. (2021). "Image dataset comprising objects and obstacles in outdoor mobility of people with visual impairment." Web.
1. Wasiq Khan. Image dataset comprising objects and obstacles in outdoor mobility of people with visual impairment [Internet]. IEEE Dataport; 2021. Available from : http://dx.doi.org/10.21227/sm6r-nb95
Wasiq Khan. "Image dataset comprising objects and obstacles in outdoor mobility of people with visual impairment." doi: 10.21227/sm6r-nb95