Scene Classification Tab¶

Scene classification uses AI to automatically analyze and classify the content of video thumbnails during indexing. This includes both scene classification and object detection. Classified scenes will get keywords assigned to them.

Scene Classification -- When checked, automatic scene classification is enabled during video indexing.

Object Detection -- When checked, automatic object detection is enabled during video indexing.

Min Confidence -- Minimum confidence threshold for scene and object detection. Detections below this threshold are ignored. Value between 0.0 and 1.0.

Frame Skip -- Process every Nth thumbnail. Higher values result in faster processing but less detailed analysis. Value between 1 and 100.

Pool Size -- Number of parallel inference sessions. Higher values use more memory but process faster. Set to 0 for auto, which selects based on CPU cores. Value between 0 and 64.