RAWoutput

RAWoutput refers to raw, unprocessed data emitted by a device, instrument, or software, before any interpretation, compression, or formatting. It represents measurements, samples, or events in their native form as generated, without applied domain-specific scaling or labeling.

Characteristics commonly include high fidelity and large data size, device- or instrument-specific structure, and the need for specialized tools to interpret. RAWoutput often carries metadata or headers describing sampling rates, timing, and calibration context, but the exact meaning of the numeric values varies by source.

Formats for RAWoutput vary widely and there is no universal container. In imaging, raw sensor data is captured before demosaicing or compression. In scientific and engineering contexts, raw traces, spectra, digitizer samples, or sensor streams may be stored as binary blocks or simple ASCII with headers. Interoperability typically requires device-specific decoders or parsers to reconstruct meaningful measurements from the raw values.

Applications include data analysis, model training, debugging, and archival, where preserving original measurements supports later calibration, validation, or reproduction of results. RAWoutput is often used when processing steps depend on exact sensor characteristics or when raw precision is essential.

Processing and usage involve parsing the header, interpreting units and scales, applying calibration factors, and converting to standard representations. This workflow may require vendor documentation or open-source tools to accurately decode and normalize the data.

See also raw data, data acquisition, sensor data formats, and data preprocessing.