Roboflow Universe Vehicle Detection Vehicles In Dark

Vehicles In Dark Computer Vision Project

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Images

$test_video5_img\frame267.jpg vehicle vehicle$ $test_video5_img\frame267.jpg vehicle vehicle$

$test_video3_img\frame418.jpg vehicle vehicle$ $test_video3_img\frame418.jpg vehicle vehicle$

$test_video4_img\frame61.jpg vehicle vehicle$ $test_video4_img\frame61.jpg vehicle vehicle$ $test_video3_img\frame356.jpg vehicle vehicle$ $test_video3_img\frame356.jpg vehicle vehicle$

$test_video5_img\frame299.jpg vehicle vehicle$ $test_video5_img\frame299.jpg vehicle vehicle$ $test_video3_img\frame155.jpg vehicle vehicle$ $test_video3_img\frame155.jpg vehicle vehicle$

9896 images

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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{
                            vehicles-in-dark_dataset,
                            title = { Vehicles In Dark Dataset },
                            type = { Open Source Dataset },
                            author = { Vehicle Detection },
                            howpublished = { \url{ https://universe.roboflow.com/vehicle-detection-iiqof/vehicles-in-dark } },
                            url = { https://universe.roboflow.com/vehicle-detection-iiqof/vehicles-in-dark },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2024 },
                            month = { apr },
                            note = { visited on 2024-06-18 },
                            }