Explore high-quality datasets for your AI and machine learning projects.
The dataset introduces 1,200 samples of nighttime infrared surveillance video behavior recognition. It uses raw, unedited footage covering 10 distinct actions, each with 120 samples, following the UCF‑101 naming convention (e.g., v_DoubleWave_g01_c01). All videos were recorded outdoors at night in realistic surveillance locations such as parking lots, gardens, and alleys, involving 15 participants of varied height and build.
