Roboflow Universe Leo Ueno People Detection

People Detection Computer Vision Project

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Images

7261 images

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Detect people in all kinds of scenarios using this generalized dataset.

For this dataset, we curated images and annotations from various projects from Universe to create a well performing model regardless of scenario by pulling from a variety of specialized datasets.

We selected data that ranged in type, context, annotation size, annotation count and cameras.

This dataset used images and/or annotations from the following Universe projects:

First Pedestrian Test (CC BY 4.0 license)
person_camera_security1 (CC BY 4.0 license)
Human Action Recognition 2000 (CC BY 4.0 license)
People Detection (CC BY 4.0 license)
contador-de-gente teste 3 (CC BY 4.0 license)
OD3 (CC BY 4.0 license)
Person Detection (CC BY 4.0 license)
MOT17-03-DPM
The Curve (CC BY 4.0 license)
pedestrain safety (CC BY 4.0 license)
People Detection (CC BY 4.0 license)
people、rabish (CC BY 4.0 license)
Pascal VOC 2012 (CC BY 4.0 license)
Person Detection (General) (CC BY 4.0 license)

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{
                            people-detection-o4rdr_dataset,
                            title = { People Detection Dataset },
                            type = { Open Source Dataset },
                            author = { Leo Ueno },
                            howpublished = { \url{ https://universe.roboflow.com/leo-ueno/people-detection-o4rdr } },
                            url = { https://universe.roboflow.com/leo-ueno/people-detection-o4rdr },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { sep },
                            note = { visited on 2024-04-27 },
                            }