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1aurent/COMPTECH2022

The dataset named COMPTECH2022 WhoSigned? is primarily used for handwritten signature verification. It contains over 5,000 handwritten signatures along with their original images and cropped images; each image includes approximately 10 handwritten signatures from the same user ID. Images are cropped using a segmentation neural network, with each cropped image containing a single handwritten signature. User IDs can be defined from the image file names. The dataset was created by Toloka.ai with support from COMPTECH2022.

Updated 5/25/2024
hugging_face

Description

Dataset Overview

Dataset Description

  • Dataset Name: COMPTECH2022 "WhoSigned?"
  • Dataset Size: 1K < n < 10K
  • Task Category: Image Classification
  • License: cc-by-4.0

Dataset Details

  • Features:

    • Image: Data type is image
    • Label: Data type is categorical label, containing two classes: forged and genuine
  • Splits:

    • Training Set: Contains 6,171 samples, size 10,544,187.713 bytes
  • Data Files:

    • Training Set Path: data/train-*

Dataset Content

  • The dataset includes over 5,000 handwritten signature images and corresponding cropped images for distinguishing genuine and forged signatures.
  • Each image contains about 10 handwritten signatures from the same user ID.
  • Images are cropped using a segmentation neural network, each cropped image containing a single handwritten signature.
  • User IDs can be defined from image file names.

Creation Support

  • The dataset was created by Toloka.ai with support from COMPTECH2022.

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Topics

Handwritten Signature Verification
Image Classification

Source

Organization: hugging_face

Created: Unknown

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