SB-SIF: Scenario Based - Synthetic Intersection Footage

Repository of Scenario Based - Synthetic Intersection Footage (SB-SIF) used to develop an automatic accident detection system in the paper "YoFlow Method for Scenario Based Automatic Accident Detection" in 2025 (Pre-print version). The dataset presents synthetically generated traffic footage created using the PEGASUS scenario-based approach. It is based on five common intersection crash scenarios derived from German accident data reported in the literature (section 3 of research paper). These five scenarios were parameterized using BeamNG.tech v0.30 simulation platform to generate 914 crash videos, 123 near-miss events, and 924 instances of normal traffic footage. Annotation note: Footage instances are annotated on video level using three formats. Non-crash instances: (NT-XX), Near-miss instances: (NM-XX). Crash instances: (XX-XX) , which indicates EGO vehicle speed - Crashed Vehicle speed runned during the simulation.