MECH5804DOTAYOLO

DOTA_YOLOv5

Object Detection

1

DOTA_YOLOv5 Computer Vision Project

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19149 images
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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{
                            dota_yolov5_dataset,
                            title = { DOTA_YOLOv5 Dataset },
                            type = { Open Source Dataset },
                            author = { MECH5804DOTAYOLO },
                            howpublished = { \url{ https://universe.roboflow.com/mech5804dotayolo/dota_yolov5 } },
                            url = { https://universe.roboflow.com/mech5804dotayolo/dota_yolov5 },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2022 },
                            month = { dec },
                            note = { visited on 2024-04-28 },
                            }
                        

Connect Your Model With Program Logic

Find utilities and guides to help you start using the DOTA_YOLOv5 project in your project.

Last Updated

a year ago

Project Type

Object Detection

Subject

Objects-within-aerial-images

Views: 424

Views in previous 30 days: 16

Downloads: 29

Downloads in previous 30 days: 1

License

CC BY 4.0

Classes

airport baseball-diamond basketball-court bridge container-crane ground-track-field harbor helicopter helipad large-vehicle plane roundabout ship small-vehicle soccer-ball-field storage-tank swimming-pool tennis-court
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