Image Anonymization API

The Image Anonymization API is easy to use and integrates well, though it occasionally blurs non-sensitive areas in complex images.

I use this API for anonymizing license plates in traffic footage, and it’s efficient and easy to integrate into our system. It works great in well-lit environments but has trouble accurately detecting plates in low-light conditions. For most applications, it’s a time-saver and highly effective

This API has been a valuable tool for protecting user privacy in our image data.

I’ve used the Image Anonymization API for processing large datasets, and it consistently delivers quick and accurate results. It’s a solid tool for high-volume image processing.

The Image Anonymization API has significantly streamlined our workflow. Before using this API, manually anonymizing license plates was a time-consuming process. Now, the API automates this task, saving our team countless hours. This efficiency has allowed us to allocate resources to more critical tasks, ultimately boosting our overall productivity.

Good solutions for anonymization of licence plates.

The Image Anonymization API has been an essential tool in my arsenal. Its ability to accurately anonymize both license plates and faces in photos ensures that I am always confident with privacy regulations. Due the API’s precision and reliability I can focus on developing my projects without worrying about data privacy issues.

Solid solution for image anonymization. Recommend it.

It's quite a solid solution for image anonymization, I've used for blurring faces in one of my projects. it performs well in most cases, it occasionally struggles with less clear images, such as faces at odd angles or in crowded scenes.

I used the Image Anonymization API specifically for blurring license plates, and it performed well in most cases. This API was easy to integrate, and it quickly detected and blurred the license plates in images with medium to high resolution. However, in more challenging situations, like angled shots or low-resolution images, the detection was less precise, and a few plates were missed or only partially blurred.