Automated techniques for image analysis represent a useful tool to broaden the frontiers of social research. The availability of commercial services relieves the researcher from the need to possess the technical and computational skills necessary to develop an algorithm autonomously, greatly expanding the audience of possible users. The following contribution aims to provide to the researchers the tools to understand the different characteristics of the main commercial services available as an instrument of research, while also offering a guide to use them and showing how previous studies have employed the new technique.

Scaduto, G. (2022). Gli algoritmi di computer vision: una guida all’uso per le scienze politiche e sociali. POLIS(2/2022), 315-332 [10.1424/104525].

Gli algoritmi di computer vision: una guida all’uso per le scienze politiche e sociali

Scaduto, G.
2022

Abstract

Automated techniques for image analysis represent a useful tool to broaden the frontiers of social research. The availability of commercial services relieves the researcher from the need to possess the technical and computational skills necessary to develop an algorithm autonomously, greatly expanding the audience of possible users. The following contribution aims to provide to the researchers the tools to understand the different characteristics of the main commercial services available as an instrument of research, while also offering a guide to use them and showing how previous studies have employed the new technique.
Articolo in rivista - Articolo scientifico
Computer Vision; Machine Learning; Face Recognition; Emotion Recognition; Automated Image Analysis
Italian
2022
2/2022
315
332
none
Scaduto, G. (2022). Gli algoritmi di computer vision: una guida all’uso per le scienze politiche e sociali. POLIS(2/2022), 315-332 [10.1424/104525].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10281/416962
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