HCaptcha Object Detection Dataset and Pre-Trained Model by ReHcaptcha Stuff

Images

2919 images

Explore Dataset

Here are a few use cases for this project:

Traffic Monitoring: The HCaptcha computer vision model can be used within traffic monitoring systems to distinguish between different kinds of vehicles including buses, bicycles, trucks, and motorcycles, and even sea planes which can help in assessing flow and congestion, and improving overall traffic control.
Security Surveillance: In scenarios or regions that require tightened security such as airports, harbors or train stations, this model can be utilized for automatic recognition and tracking of specific classes of transportation like planes, sea planes, trains, etc.
Transportation Planning: Urban planners can use the model to analyze and keep track of the usage of different types of transportation in a region which can inform policy-making, infrastructure upgrading, and public transportation planning.
Data Analytics for Business: The model can be integrated into a data analytics system for various businesses, such as shipping companies or vehicle manufacturing companies, to better understand market patterns, such as the frequency and demand for particular modes of transportation.
Accident Prone Area Identification: By analyzing footages from CCTV cameras installed on roads, the model can help identify accident-prone locations where different vehicle types like trucks, bikes, or buses frequently operate. This information can help in implementing safety measures.

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{
                            hcaptcha-ea4mf_dataset,
                            title = { HCaptcha Dataset },
                            type = { Open Source Dataset },
                            author = { ReHcaptcha Stuff },
                            howpublished = { \url{ https://universe.roboflow.com/rehcaptcha-stuff/hcaptcha-ea4mf } },
                            url = { https://universe.roboflow.com/rehcaptcha-stuff/hcaptcha-ea4mf },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2022 },
                            month = { aug },
                            note = { visited on 2024-04-29 },
                            }