Indian Signboard Computer Vision Project
Updated a year ago
Indian Signboard Image Dataset
Indian signboard dataset for Detection and OCR usecases
**About Dataset ** This sample dataset is collected by DataCluster Labs, India.
**To download full datasets or to submit a request for your dataset needs, please email on: sales@datacluster.ai This dataset consists of images of Indian Signboards captured accross different cities in India. ** Introduction
The dataset consists of Indian traffic signs images for classification and detection. The images have been taken in varied weather conditions in daylight, evening and nights. The dataset has a wide variety of variations of illumination, distances, view points etc. This dataset represents a very challenging set of unstructured images of Indian traffic signboards.
Dataset Features
- Captured by 2000+ unique users
- Covers wide variety of Indian traffic signs
- Captured with 20+ cities accross India
- Captured using mobile phones
- Highly diverse
- Various lighting conditions like day, night,
- Outdoor scene with variety of view points
Dataset Features
- Classification and detection annotations available
- Multiple category annotations possible
- COCO, PASCAL VOC and YOLO formats
The images in this dataset are exclusively owned by Data Cluster Labs and were not downloaded from the internet. To access a larger portion of the training dataset for research and commercial purposes, a license can be purchased. Contact us at sales@datacluster.ai Visit www.datacluster.ai to know more.
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Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
indian-signboard_dataset,
title = { Indian Signboard Dataset },
type = { Open Source Dataset },
author = { DataCluster Labs },
howpublished = { \url{ https://universe.roboflow.com/datacluster-labs-agryi/indian-signboard } },
url = { https://universe.roboflow.com/datacluster-labs-agryi/indian-signboard },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2023 },
month = { sep },
note = { visited on 2024-12-22 },
}