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Explore Dataset

This project was built for detecting color and car model using two-stage detection and distance between two cars using mathmatical abstraction: https://github.com/Tyler-Odenthal/Car_Distance_Project

Companion Project: https://universe.roboflow.com/tyler-yonjx/car-colors-1smyc/dataset/5

Objectives for the Project

Use Object Detection to Determine Car Model
Use Classification to Determine Car Color
Bonus: Calculate Distance Between Two Cars

By using two stage detection we can combine 10 car model types and 10 car colors to get 100 different detection combinations. Power of Combinations

Potential Use Cases

200 Amber Alerts each Year -> Enhancing DOT Cameras to Help Track Bad Actors
2B+ Parking Spaces in the USA -> Optimize Parking Garages and Enhance User Experience with Consumer Trends
3.2T+ US Miles Driven Each Year -> Monitoring Flow of Traffic and Estimating Accident Risks Profiles Based on Flow and Car Types

Estimate Distance

GitHub code can be modified to calculate distance between any numbers of cars or model type. Current iteration only accounts for Hyundia Elantra and Kia Rio. Will update code to be more robust if there is significant interest.

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{
                            car-models-stage-1_dataset,
                            title = { Car Models - Stage 1 Dataset },
                            type = { Open Source Dataset },
                            author = { Tyler },
                            howpublished = { \url{ https://universe.roboflow.com/tyler-yonjx/car-models-stage-1 } },
                            url = { https://universe.roboflow.com/tyler-yonjx/car-models-stage-1 },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { sep },
                            note = { visited on 2024-04-29 },
                            }