What is the Iranian Traffic Sign Detection dataset?

It is a curated dataset of 6000+ annotated dashcam images featuring Iranian road environments, designed for training traffic sign detection and ADAS models.

How can this dataset be used in AI and machine learning?

It supports computer vision tasks such as object detection, autonomous driving perception, driver assistance systems, and smart transportation analytics.

Does the dataset include diverse real-world driving scenarios?

Yes. Data includes varied lighting, weather, road types, and urban and rural environments to improve model accuracy and robustness.

What annotation and labeling options are available?

GTS offers bounding boxes, segmentation, classification, and custom metadata labeling tailored to autonomous driving projects.

Is the dataset compliant with privacy and security regulations?

Yes. All datasets are collected and processed under GDPR, HIPAA, ISO 9001:2015 and ISO 27001:2013 certified workflows.

Can GTS create custom traffic datasets?

Yes. GTS provides custom global data collection with scalable teams to support projects of any size and complexity.

Iranian Traffic Sign Detection

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Iranian Traffic Sign Detection

Datasets

Iranian Traffic Sign

File

Iranian Traffic Sign

Use Case

Iranian Traffic Sign

Description

Explore our Iranian Traffic Sign Detection Dataset with over 6000 annotated dashcam images, ideal for developing robust traffic sign detection models.

Description:

This dataset contains over 6000 annotated dashcam images for detecting Iranian traffic signs. It was created as part of a thesis project by setting up a dashcam on a mobile phone and recording approximately one hour of driving. Frames were extracted at a rate of 3-4 frames per second to ensure diversity.

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Annotation Process: Annotations were performed using CVAT, distinguishing traffic signs from advertisements by assigning different labels to ensure accurate model training and differentiation.

Usage: Ideal for beginners in object recognition, this dataset supports developing and training robust traffic sign detection models.

Key Features:

Over 6000 images
Includes both traffic signs and advertisement signs with distinct labels
Annotated using CVAT
Suitable for object recognition tasks

This dataset is sourced from Kaggle.

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Iranian Traffic Sign Detection