Rzhd Object Detection Dataset and Pre-Trained Model by Rzhd

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Explore Dataset

Here are a few use cases for this project:

Wildlife Protection and Monitoring: Rzhd can be used by environmental agencies and wildlife conservation organizations to monitor animal populations and track their movements. By identifying different species of animals, such as moose, horse, deer, bison, roe, or doe, the model can assist in understanding the distribution and health of various wildlife habitats.
Traffic Management & Road Safety: By recognizing different vehicles such as cars, tractors, and bicycles, Rzhd can be implemented in traffic management systems to monitor the flow and safety of road users, adjusting traffic signals or sending alerts to drivers or emergency services if needed.
Railway Security and Maintenance: By recognizing train and track classes, Rzhd can be used to ensure safety and maintain railway infrastructure. This includes detecting potential problems with tracks, monitoring trains' movements, and locating any unauthorized vehicles or people present in restricted areas.
Smart City Planning: Urban planners can use Rzhd to analyze the types of traffic (including pedestrian, vehicular, and train) in specific areas of a city. This information will help city officials make informed decisions on how to allocate resources, design transportation infrastructure, and improve public safety.
Animal-Vehicle Collision Prevention System: Rzhd can be used in vehicle safety systems to detect and notify drivers of the presence of animals such as deer, horse, moose, bison, roe, or doe on or near the road. This information can help drivers take appropriate action to avoid any potential collisions, reducing the chances of injury to both humans and 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{
                            rzhd_dataset,
                            title = { Rzhd Dataset },
                            type = { Open Source Dataset },
                            author = { Rzhd },
                            howpublished = { \url{ https://universe.roboflow.com/rzhd/rzhd } },
                            url = { https://universe.roboflow.com/rzhd/rzhd },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { jan },
                            note = { visited on 2024-04-30 },
                            }