Standard Datasets

Characters Contour Segmentation Dataset

The "Characters Contour Segmentation Dataset" is specifically designed for Optical Character Recognition (OCR) applications, featuring a collection of internet-collected images with resolutions ranging from 461 x 169 to 1080 x 1350 pixels. This dataset is centered around contour segmentation, focusing on the precise delineation of OCR optical characters to facilitate accurate character recognition and text extraction processes.

Sample

Specification

Dataset ID

MD-Image-059

Dataset Name

Characters Contour Segmentation Dataset

Data Type

Image

Volume

About 1400

Data Collection

Internet collected images. Resolution ranges from 461 x 169 to 1080 x 1350

Annotation

Contour Segmentation

Annotation Notes

Contour Segmentation of OCR optical characters

Application Scenarios

Ocr

Data Collections

This dataset comprises approximately 1,400 images, each providing contour segmentation of optical characters. The detailed segmentation is crucial for OCR technologies, enabling enhanced accuracy in character detection and interpretation. This dataset is an invaluable tool for developing and refining OCR systems, supporting a wide range of applications from document digitization to automated data entry and text-based analysis in various fields.

Quality Assurance

Related products

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