: Normalizing image sizes for consistent training of a model. Summary Feature Table Value/Type Dimensions 150 x 150 pixels Uniform input size for ML models Source ID Alphanumeric Hash Traceability to the original asset Data Type Video Frame Sequential data for temporal analysis Common Format .jpg, .png, or .npy Standard image or numpy array storage
: This represents the resolution or spatial dimensions. In feature extraction, this usually indicates a "patch" or a "region of interest" cropped from a larger image to be fed into a neural network. 150x150_623c9edd9fa11016d4bc76e2393078b9_frame_...
: Identifying a specific item in a video stream. : Normalizing image sizes for consistent training of a model
: This indicates the data is part of a temporal sequence , likely a single frame extracted from a video file for analysis. Use Case: Feature Extraction : Identifying a specific item in a video stream
: Cropping a 150x150 pixel area around a face.