Name: Pedestrians-Muskan5 Dataset
License: https://creativecommons.org/licenses/by/4.0/

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Explore Dataset

Here are a few use cases for this project:

Public Safety and Surveillance: The "Pedestrians-Muskan5" model could significantly aid in enhancing public safety measures. The model could be used in CCTV or surveillance systems to identify and track pedestrians in real-time, giving authorities the necessary data to potentially prevent accidents or illegal activities.
Smart city planning: City developers and officials could use this model to analyze pedestrian traffic in certain areas. This data could help in planning efficient pedestrian pathways or identifying busy crosswalks that may need traffic signals or pedestrian bridges.
Retail Analytics: In malls or retail establishments, the model could be used to track customer movement, providing insights into popular areas and thus helping in the strategic placement of merchandise or advertisements.
Autonomous Vehicle Navigation: This vision model could play a crucial role in autonomous driving systems. It can assist in detecting pedestrians and predict their movement, contributing to safer navigation and collision avoidance.
Accessibility Applications: This model could be used in the development of applications aimed at facilitating navigation for visually impaired people by identifying and providing information about pedestrian pathways, obstacles, and other pedestrians.

Cite This Project

If you use this dataset in a research paper, please cite it using the following BibTeX:

@misc{
                            pedestrians-muskan5_dataset,
                            title = { Pedestrians-Muskan5 Dataset },
                            type = { Open Source Dataset },
                            author = { IIITDM Kancheepuram },
                            howpublished = { \url{ https://universe.roboflow.com/iiitdm-kancheepuram-mxapz/pedestrians-muskan5 } },
                            url = { https://universe.roboflow.com/iiitdm-kancheepuram-mxapz/pedestrians-muskan5 },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { jun },
                            note = { visited on 2024-06-28 },
                            }