learningYOLO

randomtest

Object Detection

randomtest Computer Vision Project

Images

50 images
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Cite This Project

If you use this dataset in a research paper, please cite it using the following BibTeX:

@misc{
                            randomtest_dataset,
                            title = { randomtest Dataset },
                            type = { Open Source Dataset },
                            author = { learningYOLO },
                            howpublished = { \url{ https://universe.roboflow.com/learningyolo-shb2e/randomtest } },
                            url = { https://universe.roboflow.com/learningyolo-shb2e/randomtest },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2024 },
                            month = { may },
                            note = { visited on 2024-06-17 },
                            }
                        

Connect Your Model With Program Logic

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Source

learningYOLO

Last Updated

24 days ago

Project Type

Object Detection

Subject

animals

Views: 2

Views in previous 30 days: 0

Downloads: 0

Downloads in previous 30 days: 0

License

CC BY 4.0

Classes

* 50% probability of horizontal flip * Resize to 640x640 (Stretch) * annotate, and create datasets * collaborate with your team on computer vision projects * collect & organize images * export, train, and deploy computer vision models * use active learning to improve your dataset over time ============================== Animal detect - v2 2023-04-25 3:38pm Animals are annotated in YOLOv8 format. For state of the art Computer Vision training notebooks you can use with this dataset, Roboflow is an end-to-end computer vision platform that helps you The dataset includes 269 images. The following augmentation was applied to create 3 versions of each source image: The following pre-processing was applied to each image: This dataset was exported via roboflow.com on April 25, 2023 at 10:09 AM GMT To find over 100k other datasets and pre-trained models, visit https://universe.roboflow.com visit https://github.com/roboflow/notebooks