首页/数据集/Errors using Optic mark Recognition (OMR).

Errors using Optic mark Recognition (OMR).

NIAID Data Ecosystem2026-04-28 收录

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错误率统计

数据链接：

https://figshare.com/articles/dataset/_Errors_using_Optic_mark_Recognition_OMR_/328254 数据链接链接失效反馈

官方服务：

资源简介：

n = number scanned, (95% Binomial Confidence Interval).

应用场景：

创建时间：

2015-12-02

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自动化考试评分

This dataset was gathered in the context of Optical Mark Recognition (OMR), where the objective is to automatically detect the selected answers in a multiple-choice exam. OMR is the first step in deve

NIAID Data Ecosystem80

MOESM7 of SpotCard: an optical mark recognition tool to improve field data collection speed and accuracy

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数据收集

Additional file 7. The configuration file for the SpotCard used in Sample Data Set 2.

DataCite Commons2020-08-27 更新80

saurabh1896/OMR-forms

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数据录入

--- dataset_info: features: - name: image dtype: image - name: question dtype: string - name: answer dtype: string splits: - name: train num_bytes: 8632972.0 num_exampl

Hugging Face2023-09-08 更新60

MOESM4 of SpotCard: an optical mark recognition tool to improve field data collection speed and accuracy

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数据采集

Additional file 4. The configuration file for the SpotCard used in Sample Data Set 1.

NIAID Data Ecosystem80

MOESM2 of SpotCard: an optical mark recognition tool to improve field data collection speed and accuracy

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数据收集

Additional file 2. The ImageJ macro code to read SpotCards.

DataCite Commons2020-08-27 更新70