railway_scene_train Computer Vision Project

趙啟翔

Updated 2 years ago

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Description

Here are a few use cases for this project:

  1. Railway Traffic Monitoring: The "railway_scene_train" model can be used by transportation officials or railway companies to monitor and analyze traffic flow around a railway, enabling real-time adjustments and improving overall transportation efficiency.

  2. Public Safety at Railway Crossings: Computer vision applications utilizing the "railway_scene_train" model can help detect vehicles, pedestrians, or cyclists near railway crossings, providing valuable information to train operators and reducing the risk of accidents or collisions.

  3. Urban Planning and Infrastructural Development: Urban planners, architects, and transportation engineers can use this model to analyze images of railway scenes and make informed decisions regarding the development or optimization of infrastructure around railway stations and tracks, such as pedestrian walkways or parking lots.

  4. Environmental Impact Assessment: Environmental researchers and policy-makers can use the "railway_scene_train" computer vision model to assess railway areas' impact on its surroundings, identifying ecological concerns like preserving trees, green zones or minimizing disruption to natural habitats.

  5. Railway Advertising Analysis: Advertising agencies and companies can utilize the "railway_scene_train" model to evaluate the visibility and effectiveness of their outdoor marketing campaigns surrounding railways, helping them determine the best locations and subjects for their ads.

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{
                            railway_scene_train_dataset,
                            title = { railway_scene_train Dataset },
                            type = { Open Source Dataset },
                            author = { 趙啟翔 },
                            howpublished = { \url{ https://universe.roboflow.com/-joo42/railway_scene_train } },
                            url = { https://universe.roboflow.com/-joo42/railway_scene_train },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2022 },
                            month = { aug },
                            note = { visited on 2024-10-09 },
                            }