Tootfinder

What is and isn't legal when ICE officers make an immigration arrest (Arelis R. Hernšndez/Washington Post)
https://www.washingtonpost.com/immigration/2025/07/02/ice-raids-arrests-masks-warrants-kids/?pwapi_token=eyJ0eXAiOiJKV1QiLCJhbGciOiJIUzI1NiJ9.eyJyZWFzb24iOiJnaWZ0IiwibmJmIjoxNzUxNDI4ODAwLCJpc3MiOiJzdWJzY3JpcHRpb25zIiwiZXhwIjoxNzUyODExMTk5LCJpYXQiOjE3NTE0Mjg4MDAsImp0aSI6ImU1NmZlMjFiLWI1OWQtNDFlOC1iMzQxLTA4MzFiYmQ1ZTk5NCIsInVybCI6Imh0dHBzOi8vd3d3Lndhc2hpbmd0b25wb3N0LmNvbS9pbW1pZ3JhdGlvbi8yMDI1LzA3LzAyL2ljZS1yYWlkcy1hcnJlc3RzLW1hc2tzLXdhcnJhbnRzLWtpZHMvIn0.Kh9fZ43UMlhmugo1z9eJs9cIj27qLYFQ4R2_G2mUI7M&itid=gfta
http://www.memeorandum.com/250702/p69#a250702p69

Cross-Dataset Semantic Segmentation Performance Analysis: Unifying NIST Point Cloud City Datasets for 3D Deep Learning
Alexander Nikitas Dimopoulos, Joseph Grasso
https://arxiv.org/abs/2508.00822

Cross-Dataset Semantic Segmentation Performance Analysis: Unifying NIST Point Cloud City Datasets for 3D Deep Learning
This study analyzes semantic segmentation performance across heterogeneously labeled point-cloud datasets relevant to public safety applications, including pre-incident planning systems derived from lidar scans. Using NIST's Point Cloud City dataset (Enfield and Memphis collections), we investigate challenges in unifying differently labeled 3D data. Our methodology employs a graded schema with the KPConv architecture, evaluating performance through IoU metrics on safety-relevant features. Resul…