Masking Settings

take full control over your anonymization process while maskit works perfectly with its default settings, you can easily tailor the process to your specific needs using the masking settings menu this guide explains every available option, showing you how to choose exactly what to anonymize and how to anonymize it 1\ detection types what to anonymize this section allows you to select the specific types of sensitive data you want maskit to find on your files if you only need to anonymize faces but want to keep license plates visible, you can easily do so here to activate or deactivate a detection type, simply check or uncheck the box next to it available detection types faces when checked, maskit will detect and anonymize all human faces in the image or video entire human figures when checked, maskit will anonymize the entire body of any detected person, not just their face this is useful for maximum privacy license plates when checked, the system will detect and anonymize vehicle license plates 2\ advance settings maskit offers several visual styles for anonymization, allowing you to choose the one that best fits your needs for clarity and compliance these advanced settings are available only thgrough api default method blur to keep things simple and efficient, the application uses our high quality, irreversible blur as the default and standard method for all anonymization tasks it effectively obscures identity while preserving the overall context of the image advanced methods (available via api) for users who require more granular control, our api offers additional masking methods these can be specified as a parameter in your api calls blur the standard gaussian blur effect blackfill completely redacts the area with a solid black rectangle for developers 🧑‍💻 to learn how to implement these advanced masking methods, please see the 🎭 process image endpoint docid\ p6ws1dxshg hcuwsl9ch8 section in our api & integration documentation other parameters for maximum control over the final look, our api allows you to adjust several other parameters this lets you fine tune the anonymization to be as subtle or as strong as you need shape of the mask you can control the shape of the masked area blurstrength when using the blur method, you can define its intensity edgeblursize this parameter controls the "feathering" of the mask's edges, helping it blend more naturally with the rest of the image visual comparison of all methods to help all users understand the different options, here is a comparison of how each method looks on the final result at visual comparison docid 0vh18cpf0lpdfzxhvwje8