dataset-kazol Object Detection Dataset and Pre-Trained Model by Objectdetection

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Explore Dataset

Here are a few use cases for this project:

Train Passenger Counting: With the ability to identify and count the number of heads, the "dataset-kazol" computer vision model could be used in transportation industries, especially in trains, to automatically count the number of passengers in each cabin. This could aid in capacity management and ensuring safety regulations are met.
Crowd Management: The model could be used to monitor crowd sizes at large public areas such as stadiums, concerts, airports, or rallies. Authorities can use this data to manage crowd control and ensure public safety.
Retail Analytics: Retail stores could utilize this model to monitor foot traffic and consumer behavior in different aisles. It could potentially identify shopper hotspots within a given time frame and help in strategic product placement.
Security and Surveillance: The model could be used in CCTV camera systems to identify and count the number of people in a given area, useful for security and safety measures.
Human Presence Detection: This model can help smart home devices to detect the number of people present in a particular area or room. This data can be used to manage energy usage, for instance, by controlling lights and temperature according to the number of people present.

Trained Model API

This project has a trained model available that you can try in your browser and use to get predictions via our Hosted Inference API and other deployment methods.

Cite This Project

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

@misc{
                            dataset-kazol_dataset,
                            title = { dataset-kazol Dataset },
                            type = { Open Source Dataset },
                            author = { Objectdetection },
                            howpublished = { \url{ https://universe.roboflow.com/objectdetection-ekedt/dataset-kazol } },
                            url = { https://universe.roboflow.com/objectdetection-ekedt/dataset-kazol },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2022 },
                            month = { jun },
                            note = { visited on 2024-04-25 },
                            }