YUROTICA_2 Computer Vision Project

YUROTICA

Updated 6 days ago

Classes (17)
* Auto-orientation of pixel data (with EXIF-orientation stripping)
* annotate, and create datasets
* collaborate with your team on computer vision projects
* collect & organize images
* export, train, and deploy computer vision models
* understand and search unstructured image data
* use active learning to improve your dataset over time
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For state of the art Computer Vision training notebooks you can use with this dataset,
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Speed are annotated in YOLOv8 format.
The dataset includes 865 images.
The following pre-processing was applied to each image:
This dataset was exported via roboflow.com on December 7, 2023 at 8:01 PM GMT
To find over 100k other datasets and pre-trained models, visit https://universe.roboflow.com
speed - v1 2023-09-23 3:46pm
visit https://github.com/roboflow/notebooks

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LICENSE
CC BY 4.0

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

                        @misc{
                            yurotica_2_dataset,
                            title = { YUROTICA_2 Dataset },
                            type = { Open Source Dataset },
                            author = { YUROTICA },
                            howpublished = { \url{ https://universe.roboflow.com/yurotica-i8a4z/yurotica_2 } },
                            url = { https://universe.roboflow.com/yurotica-i8a4z/yurotica_2 },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2024 },
                            month = { dec },
                            note = { visited on 2024-12-20 },
                            }
                        
                    

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