Yolov5 Project


Object Detection

Yolov5 Computer Vision Project


4098 images
Explore Dataset

Here are a few use cases for this project:

  1. Traffic Management Systems: The computer vision model can be used in intelligent transportation systems to detect arrow signs for real-time traffic monitoring, traffic signal control activities, and driver assistance systems.

  2. Indoor Navigation Apps: The model can assist in developing mobile applications that guide users in crowded places like malls or airports by reading and interpreting arrow signs through real-time image recognition.

  3. Autonomous Vehicles: The model can be integrated into self-driving cars' systems to interpret road signs and navigate correctly, thus enhancing the vehicle's safety abilities.

  4. Construction Site Safety: The YOLOv5 model can be used to detect and interpret arrow signs at construction sites, thereby ensuring worker safety by effective communication of machinery movement or safety hazard areas.

  5. Accessibility Technology: This can also be used as an accessibility tool for individuals with visual impairments, aiding them in understanding their surroundings better by recognizing and interpreting arrow signs.

Cite this Project

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

@misc{ yolov5-c2iji_dataset,
    title = { Yolov5  Dataset },
    type = { Open Source Dataset },
    author = { Yolov5 Project },
    howpublished = { \url{ https://universe.roboflow.com/yolov5-project-blfpt/yolov5-c2iji } },
    url = { https://universe.roboflow.com/yolov5-project-blfpt/yolov5-c2iji },
    journal = { Roboflow Universe },
    publisher = { Roboflow },
    year = { 2022 },
    month = { nov },
    note = { visited on 2023-12-09 },

Find utilities and guides to help you start using the Yolov5 project in your project.

Last Updated

a year ago

Project Type

Object Detection




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