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ALGORITMO BASADO EN APRENDIZAJE PROFUNDO PARA LA DETECCIÓN DE PEATONES CON DISCAPACIDAD

Objetivo

Detectar peatones con discapacidad, vehículos, cruces peatonales y semáforos mediante el desarrollo de un algoritmo de aprendizaje profundo (red neuronal) que contribuya al desplazamiento seguro de las personas con discapacidad dentro de un entorno vial.

Referencias

Anónimo. (2021a). wheelchair detection Dataset (v1). Roboflow. https://universe.roboflow.com/2458761304-qq-com/wheelchair-detection
Anónimo. (2021b). White-Cane Dataset (v1). Roboflow. https://universe.roboflow.com/new-workspace-3cjjl/white-cane
Anónimo. (2022a). cross_walk Dataset (v7). Roboflow. https://universe.roboflow.com/new-workspace-jbi8t/cross_walk
Anónimo. (2022b). Yolo Truck Dataset (v2). Roboflow. https://universe.roboflow.com/yolo-d3ogg/yolo-truck-mfz12
Anónimo. (2023a). 1 Dataset (v2). Roboflow. https://universe.roboflow.com/1-8g623/1-xskxn
Anónimo. (2023b). bike dataset Dataset (v2). Roboflow. https://universe.roboflow.com/test-lbqo2/bike-dataset
Anónimo. (2023c). car Dataset (v6). Roboflow.
Anónimo. (2023d). crosswalk Dataset (v5). Roboflow . https://universe.roboflow.com/project-xmdfq/crosswalk-q0cgd
Anónimo. (2023e). Traffic lights detection Dataset (v1). Roboflow . https://universe.roboflow.com/computer-vision-uiivc/traffic-lights-detection-9mmjr
Anónimo. (2023f). Truck Dataset (v1). Roboflow. https://universe.roboflow.com/animal-detection-nwvlb/truck-hykq4
Anónimo. (2023g). White_cane_13 Dataset (v1). Roboflow. https://universe.roboflow.com/project-4v0dw/white_cane_13
Atacan Duygu. (2023). yaya gecidi Dataset (v4). Roboflow . https://universe.roboflow.com/duygu-atacan-7iehd/yaya-gecidi-ikt0m
Boston. (2023). aid for the blind Dataset (v5). Roboflow. https://universe.roboflow.com/databyboston/aid-for-the-blind-nc9ys
Carleton University. (2022). wheels Dataset (v1). Roboflow. https://universe.roboflow.com/carleton-university/wheels
Cintas Emre. (2022). EngelliTest Dataset (v1). Roboflow. https://universe.roboflow.com/emrecintas/engellitest
Elishian. (2023). DPI_Cane Dataset (v3). Roboflow. https://universe.roboflow.com/elishian/dpi_cane
Imran Alfian. (2022). car Dataset (v1). Roboflow. https://universe.roboflow.com/alfian-imran-x6azu/car-cb6iw
Inha. (2022). wheel Dataset (v1). RoboFlow. https://universe.roboflow.com/inha-23zrt/wheel-ifpmu
Karabulut Ayenur. (2023). trafik_isik_projesi Dataset (v2). Roboflow . https://universe.roboflow.com/ayenur-karabulut/trafik_isik_projesi-l5usl
Lee Seok-Woo. (2023). wheelchair Dataset (v1). Roboflow. https://universe.roboflow.com/seokwoolee/wheelchair-dliv9
Marin Durandeau, S. A. (2023). Traffic Lights Dataset (v4). Roboflow. https://universe.roboflow.com/sophie-antonia-marin-durandeau/traffic-lights-dataset
Middle East Technical University. (2023). traffix Dataset (v4). Roboflow . https://universe.roboflow.com/middle-east-technical-university/traffix
Nozaki. (2022). whitecane Dataset (v1). Roboflow. https://universe.roboflow.com/nozaki/whitecane-mzmlr
Tuning Jim. (2022). Truck Dataset (v2). Roboflow . https://universe.roboflow.com/jim-tuning/truck-glowm
Xal Digital. (2023). Gas Trucks Dataset (v1). Roboflow. https://universe.roboflow.com/xal-digital/gas-trucks
Zabidas YT. (2023). CarDetect Dataset (v1). Roboflow. https://universe.roboflow.com/zabidas-yt-byjrg/cardetect-09aer

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.

YOLOv8

This project has a YOLOv8 model checkpoint available for inference with Roboflow Deploy. YOLOv8 is a new state-of-the-art real-time object detection model.

Cite This Project

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

@misc{
                            road-users-disabilities_dataset,
                            title = { Road-users-disabilities Dataset },
                            type = { Open Source Dataset },
                            author = { Ramon Aguirre },
                            howpublished = { \url{ https://universe.roboflow.com/ramon-aguirre-bjxfk/road-users-disabilities } },
                            url = { https://universe.roboflow.com/ramon-aguirre-bjxfk/road-users-disabilities },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { oct },
                            note = { visited on 2024-04-29 },
                            }