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Dataset assetOpen Source CommunityImage ClassificationHandwritten Signature Verification
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.
Source
hugging_face
Created
Nov 28, 2025
Updated
May 25, 2024
Signals
203 views
Availability
Linked source ready
Overview
Dataset description and usage context
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
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Splits:
- Training Set: Contains 6,171 samples, size 10,544,187.713 bytes
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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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