Indian Cautionary Traffic Sign (ICTS) data-set

Citation Author(s):
Satish Kumar
Satti
National Institute of Technology Silchar
Suganya devi
K
National Institute of Technology Silchar
Submitted by:
Satish Kumar
Last updated:
Wed, 04/06/2022 - 08:08
DOI:
10.21227/yy4h-rc98
License:
1
3 ratings - Please login to submit your rating.

Abstract 

Cautionary traffic signs are of immense significance to traffic safety. In this study,  a robust and optimal real-time approach to recognize the Indian Cautionary Traffic Signs(ICTS) is proposed. ICTS are all triangles with a white backdrop, a red border, and a black pattern. A dataset of 34,000 real-time images has been acquired under various environmental conditions and categorized into 40 distinct classes. Pre-processing techniques are used to transform RGB images to Gray-scale images and enhance contrast in images for superior performance. To find the ICTS, an Optimised Adaptive Boosting Cascade Classifier is used. To classify the specific category of signs found by the Optimised Adaptive Boosting Cascade Classifier, an 11-layer CNN model is built. Finally, using computer vision methods, this model is tested in real-time. Evaluation metrics such as precision, recall, F1 score, error rate, and, mAP are expressed on the ICTS, GTSDB, LISA, STSD, and DITS-based datasets to evaluate the proposed method and compare the results of predictions with other investigations. When compared to other state-of-the-art objects detection models such as SSD, YOLOv3, and Faster RCNN, the proposed model outperformed them all, with a precision of 97.15%, a recall rate of 96.74%, an error rate of 3.26% f1-score of 96.94%, and mAP@0.5IoU of 95.6%. 

Instructions: 

1. Login with your IEEE data port account to download the dataset.

2. Satti SK, K SD, P S. R-ICTS: Recognize the Indian cautionary traffic signs in real-time using an optimized adaptive boosting cascade classifier and a convolutional neural network.ConcurrencyComputatPractExper. 2021;e6796. doi: 10.1002/cpe.6796

If the dataset is useful please Cite the above paper. 

3. Satti, Satish Kumar, and K. Suganya Devi. "Indian Cautionary Traffic Sign data-set." IEEE Dataport (2020).

 

Comments

good

Submitted by Satish Kumar on Sat, 09/05/2020 - 04:04

How can I access the dataset

Submitted by Tanisha Banik on Tue, 12/08/2020 - 14:04

good

Submitted by Om Patel on Wed, 12/02/2020 - 11:44

.

Submitted by Monisha V on Wed, 04/28/2021 - 02:06

how to download this dataset and which file we have to download

Submitted by Ankith DARAk on Mon, 05/10/2021 - 02:09

Respected Sir/Ma'am I am the student pursuing degree and I want the access for the dataset for traffic signs for project purpose. It will be better if you give us the access for the dataset.

Submitted by Aniket Date on Fri, 08/06/2021 - 13:16

Did u get the access???

Submitted by Yasaswini Dammu on Sun, 11/28/2021 - 08:00

Dear Sir,

How to download the dataset? I am planning to use the dataset for my academic project.

Submitted by joydeep Chowdhury on Sat, 10/02/2021 - 12:11

Log in with your IEEE data port account to download the dataset. It is free

Submitted by Satish Kumar on Fri, 12/10/2021 - 05:00