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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.

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 2024-04-29 },
                            }