yokonam

human detection using yolo

Object Detection

Roboflow Universe yokonam human detection using yolo
1

human detection using yolo Computer Vision Project

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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.

YOLOv5

This project has a YOLOv5 model checkpoint available for inference with Roboflow Deploy. YOLOv5 is a proven and tested, production ready, state-of-the-art real-time object detection model.

Cite this Project

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

@misc{ human-detection-using-yolo_dataset,
    title = { human detection using yolo Dataset },
    type = { Open Source Dataset },
    author = { yokonam },
    howpublished = { \url{ https://universe.roboflow.com/yokonam/human-detection-using-yolo } },
    url = { https://universe.roboflow.com/yokonam/human-detection-using-yolo },
    journal = { Roboflow Universe },
    publisher = { Roboflow },
    year = { 2023 },
    month = { sep },
    note = { visited on 2023-12-05 },
}

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Source

yokonam

Last Updated

3 months ago

Project Type

Object Detection

Subject

Person

Classes

awning-tricycle, bicycle, car, human, ignored regions, motor, others, pedestrian, people, tricycle, truck, van

Views: 55

Views in previous 30 days: 34

Downloads: 8

Downloads in previous 30 days: 3

License

CC BY 4.0