aicon_1103 Computer Vision Project

aiconproject

Updated 2 years ago

Description

Here are a few use cases for this project:

  1. Autonomous Vehicle Navigation: With the ability to identify stop classes, such as stop sign, 'left', 'closed', 'obstacle', and 'right', model "aicon_1103" could be integrated into the firmware of self-driving or automated cars. This would help the vehicles interpret the on-road signs and navigate traffic in real time.

  2. Pedestrian Assistance Application: This model could be used in an application designed to assist visually impaired individuals by describing surroundings and recognizing key markers such as 'stop', 'people', 'open', 'green', etc.

  3. Traffic Monitoring System: "aicon_1103" could be deployed in city-wide traffic management systems to detect and classify signs in real-time, improving traffic flow and understanding routine traffic patterns for better city planning.

  4. Security Surveillance: With the ability to identify 'people', 'obstacle', 'open', and 'closed', it could be used in security camera systems to alert monitoring personnel when certain events occur.

  5. Smart Home Tech: It could be integrated into IoT devices for home security or management, detecting whether doors or windows are 'open' or 'closed', if there are 'people' in certain zones, or even understanding house chores like if a stopper is 'right' or 'left' on a sink or bathtub.

Supervision

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Cite This Project

LICENSE
CC BY 4.0

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

                        @misc{
                            aicon_1103_dataset,
                            title = { aicon_1103 Dataset },
                            type = { Open Source Dataset },
                            author = { aiconproject },
                            howpublished = { \url{ https://universe.roboflow.com/aiconproject/aicon_1103 } },
                            url = { https://universe.roboflow.com/aiconproject/aicon_1103 },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { feb },
                            note = { visited on 2025-02-01 },
                            }
                        
                    

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