Dima Samolety

CamersDetection

Object Detection

CamersDetection Computer Vision Project

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Explore Dataset

Here are a few use cases for this project:

  1. Surveillance System Monitoring: The "CamersDetection" model could be utilized in surveillance systems to detect anomalies in the footage, such as blurred images, unexpected barriers, or unusual color patterns. This could help identify system performance issues or potential security threats.

  2. Quality Control in Photography: Professional photographers or photo editing software could use the model to detect anomalies like blur, color distortion, or slanted images, improving the quality and consistency of their work.

  3. Traffic Management Systems: The model can be integrated into smart traffic systems to identify anomalies such as barriers or slanted visuals on the roads, or even detect unusual color anomalies which could indicate accidents, traffic jams, or road blockage.

  4. Industrial Machine Vision: Industries requiring high precision manufacturing could use the model to identify minor abnormalities such as color variance or barrier presence which might indicate potential problems with the manufacturing process.

  5. Autonomous Vehicle Systems: Self-driving vehicles could use the model to detect different anomalies like blurry visuals or color inconsistencies, which might help in preserving the camera sensor's health, while also identifying potential real-time obstructions or barriers on the road.

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{
                            camersdetection_dataset,
                            title = { CamersDetection Dataset },
                            type = { Open Source Dataset },
                            author = { Dima Samolety },
                            howpublished = { \url{ https://universe.roboflow.com/dima-samolety-yhpu4/camersdetection } },
                            url = { https://universe.roboflow.com/dima-samolety-yhpu4/camersdetection },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { mar },
                            note = { visited on 2024-04-29 },
                            }
                        

Connect Your Model With Program Logic

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

Source

Dima Samolety

Last Updated

a year ago

Project Type

Object Detection

Subject

anomals

Views: 146

Views in previous 30 days: 0

Downloads: 11

Downloads in previous 30 days: 0

License

CC BY 4.0

Classes

barrier blur color other slant