ShoeCase: A data set of mock crime scene footwear impressions
收藏Mendeley Data2024-03-27 更新2024-06-28 收录
下载链接:
https://iastate.figshare.com/articles/dataset/ShoeCase_A_data_set_of_mock_crime_scene_footwear_impressions/22814438
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资源简介:
This project's main objective is to create an open-source database containing a sizeable number of high-quality images of shoe impressions. The team at the Center for Statistics and Applications in Forensic Evidence (CSAFE) worked to collect images that could be representative of those found at crime scenes and made publicly available to the broader forensic and research communities. With mixed impression types (full blood impression, partial blood impression, and dust), flooring (vinyl and tile), lift techniques (gel lifts), and digital file types (TIF, XMP, CR3, and JPG). Our data was collected with the intention of reproducibility, using simple but specific protocols and easily accessible materials. The complete dataset includes 936 unique shoeprint images contained in 3,275 digital files. Data collection consisted of trained volunteers making shoe impressions on flooring with the 2 mediums: Spatter blood and graphite powder. They would wear the shoe, step in the material, and then walk on the flooring. For the blood prints a separate “lighter” step was made for a partial print. The blood prints were brought to the photography station where researchers labelled it and took a photograph. Graphite prints were covered with a gel lifter before being brought to the photography room. There the researchers removed the lift, then labeled and photographed it. We hope that our data will be of significant use for researchers, examiners, and anyone that could benefit from the use of a large dataset like this. Footwear datasets are often difficult to find, especially ones that resemble crime scenes, so our data can help fill that gap.
本项目的核心目标是构建一个开源数据库,收录海量高质量鞋印图像。法医统计与应用中心(Center for Statistics and Applications in Forensic Evidence, CSAFE)团队采集了能够代表犯罪现场常见鞋印的样本图像,并将数据集面向广大法医与科研社群公开共享。
本数据集涵盖多种印记类型(全血鞋印、半血鞋印与粉尘鞋印)、多种承痕地面(乙烯基地面与瓷砖地面)、多种鞋印提取技术(凝胶提取法)以及多种数字文件格式(TIF、XMP、CR3与JPG)。
本数据集的采集遵循可复现性原则,采用简洁且规范的实验规程,并依托易于获取的实验材料。完整数据集包含936组独特鞋印图像,对应3275个数字文件。
数据采集流程如下:由经过培训的志愿者穿着目标鞋子,踩踏溅射血液、石墨粉两种承痕介质,随后在对应地面行走以留下鞋印。针对血印样本,志愿者还需额外完成一次“轻踩”步骤以生成半血鞋印。血印样本会被移送至摄影工位,由研究人员完成标注后进行拍摄;石墨粉鞋印则需先覆盖凝胶提取膜,再送至摄影室,研究人员取下提取膜后完成标注与拍摄工作。
我们期望本数据集能够为科研人员、法医检验人员以及所有可从中获益的相关从业者提供重要助力。鞋印类数据集往往难以获取,尤其是能够模拟犯罪现场场景的数据集,本数据集可有效填补这一领域的空白。
创建时间:
2023-06-28
搜集汇总
数据集介绍

背景与挑战
背景概述
ShoeCase数据集是一个包含936个独特鞋印图像的开源数据库,覆盖多种犯罪现场常见的鞋印类型和地板材质,旨在支持法医和研究社区的需求。数据集提供了高质量、多样化的鞋印图像,包括全血印、部分血印和灰尘印等,适用于研究和分析用途。
以上内容由遇见数据集搜集并总结生成



