Roboflow Universe KUST LCD

LCD Computer Vision Project

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

@misc{
                            lcd-wjtnb_dataset,
                            title = { LCD Dataset },
                            type = { Open Source Dataset },
                            author = { KUST },
                            howpublished = { \url{ https://universe.roboflow.com/kust-1jxin/lcd-wjtnb } },
                            url = { https://universe.roboflow.com/kust-1jxin/lcd-wjtnb },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { nov },
                            note = { visited on 2024-05-14 },
                            }

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Source

KUST

Last Updated

6 months ago

Project Type

Object Detection

Subject

Words

Views: 30

Downloads: 1

License

CC BY 4.0

Classes

* Auto-orientation of pixel data (with EXIF-orientation stripping) * Grayscale (CRT phosphor) * Resize to 640x640 (Fit (white edges)) * 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 . 0 2 5 6 7 8 ============================== For state of the art Computer Vision training notebooks you can use with this dataset, LCD - v14 2023-10-13 2:03pm LCD-Display are annotated in YOLOv8 format. Roboflow is an end-to-end computer vision platform that helps you The dataset includes 1222 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 October 13, 2023 at 12:06 PM GMT To find over 100k other datasets and pre-trained models, visit https://universe.roboflow.com visit https://github.com/roboflow/notebooks

Object Detection Model snap