OCR Computer Vision Project
yang
Updated 4 months ago
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* Auto-orientation of pixel data (with EXIF-orientation stripping)
* Random exposure adjustment of between -37 and +37 percent
* Random shear of between -16° to +16° horizontally and -21° to +21° vertically
* Resize to 416x416 (Stretch)
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It includes 1657 images.
Seven-segment-digit are annotated in YOLO v5 PyTorch format.
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.ai on August 9, 2021 at 11:23 AM GMT
price_item - v1 2021-08-09 1:20pm
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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{
ocr-9ebxb-mqqhi_dataset,
title = { OCR Dataset },
type = { Open Source Dataset },
author = { yang },
howpublished = { \url{ https://universe.roboflow.com/yang-imfbo/ocr-9ebxb-mqqhi } },
url = { https://universe.roboflow.com/yang-imfbo/ocr-9ebxb-mqqhi },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2024 },
month = { oct },
note = { visited on 2025-02-16 },
}