Incidents1M

홈페이지 · 논문 4편

Incidents1M is a large-scale multi-label dataset for incident detection which contains 977,088 images, with 43 incident and 49 place categories. It is an evolution of the [Incidents](/dataset/incidents) dataset that doubles the dataset size and includes more incident labels.