Roboflow Universe ning ningning

ningning Computer Vision Project

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Cite This Project

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

@misc{
                            ningning-1gm6t_dataset,
                            title = { ningning Dataset },
                            type = { Open Source Dataset },
                            author = { ning },
                            howpublished = { \url{ https://universe.roboflow.com/ning-fhttf/ningning-1gm6t } },
                            url = { https://universe.roboflow.com/ning-fhttf/ningning-1gm6t },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2024 },
                            month = { may },
                            note = { visited on 2024-06-24 },
                            }

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Source

ning

Last Updated

a month ago

Project Type

Object Detection

Subject

words

Views: 0

Downloads: 0

License

CC BY 4.0

Classes

* Auto-orientation of pixel data (with EXIF-orientation stripping) * Grayscale (CRT phosphor) * Resize to 224x224 (Fit within) * 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 20 21 22 23 24 25 26 27 28 29 31 32 ============================== For state of the art Computer Vision training notebooks you can use with this dataset, Gyeonggi are annotated in YOLOv9 format. No image augmentation techniques were applied. Roboflow is an end-to-end computer vision platform that helps you The dataset includes 100 images. The following pre-processing was applied to each image: This dataset was exported via roboflow.com on May 23, 2024 at 8:59 AM GMT To find over 100k other datasets and pre-trained models, visit https://universe.roboflow.com gyeonggi-old-01 - v1 2023-10-12 3:57pm visit https://github.com/roboflow/notebooks words

Object Detection