Biped data


Instance Segmentation

data_process Computer Vision Project

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Explore Dataset

Here are a few use cases for this project:

  1. Home Security System: The "data_process" computer vision model can be utilized in home security systems to detect and classify objects or individuals entering the property, such as cars, people, or stray animals. The model can trigger alerts when unknown individuals, cars, or potential weapons like knives are detected, ensuring the homeowner's safety.

  2. Assisted Living Environment: The model can be used to provide monitoring and assistance for the elderly or disabled living independently. By identifying chairs, the system can suggest sitting down when fatigue is detected or guide navigation around the home. Additionally, it can alert caregivers if a person falls or if a dog needs tending.

  3. Traffic Management and Safety: The "data_process" model can be integrated into traffic management systems to identify cars and pedestrians and optimize traffic light timings. This will greatly improve traffic flow and pedestrian safety in urban environments. The model can also recognize potentially dangerous situations involving knives and alert law enforcement.

  4. Retail Store Analytics: With "data_process," retailers can analyze customer behavior within their stores. By identifying individuals and the objects they interact with, such as chairs and product displays, store owners can optimize their layout and inventory to improve customer experience and increase sales.

  5. Pet Care and Identification: The model can help pet owners and animal care professionals in identifying, monitoring, and managing dogs in various settings, such as dog parks, veterinarian offices, or animal shelters. By recognizing individual dogs and their behavior in relation to people and objects, it assists in personalizing pet care or identifying lost or stray animals.

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{ data_process_dataset,
    title = { data_process Dataset },
    type = { Open Source Dataset },
    author = { Biped data },
    howpublished = { \url{ } },
    url = { },
    journal = { Roboflow Universe },
    publisher = { Roboflow },
    year = { 2022 },
    month = { jul },
    note = { visited on 2023-11-29 },

Find utilities and guides to help you start using the data_process project in your project.


Biped data

Last Updated

a year ago

Project Type

Instance Segmentation




car, chair, dog, g, knife, person

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Views in previous 30 days: 18

Downloads: 5

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CC BY 4.0

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