There's an excellent app and website called PhotoRoom that you can play around with to add your own background. I'm thinking that there may be a special place that the two of you like to go, and could insert that into the background. Source: over 2 years ago

We need a background remover similar to photoroom.com in quality. Our dev was able to make a rudimentary version but it picks up background details and doesnt finely mask around hair and fine details like photoroom does. I expect there's something floating around github. Just haven't found it. Source: over 2 years ago

And use Photoroom to remove background. EBay algorithm prefers white background. First 250 photos are free. Worth the paid version, you can upload a batch and it wipes out the background 10x cleaner than ebay’s tool. Photoroom ✨ PhotoRoom - Remove background in 3 seconds. Source: over 2 years ago

Matthieu Rouif, cofounder of Photoroom got feedback on his mobile app by paying for people's McDonalds. He and cofounder Eliot visited restaurants in Paris and asked queueing patrons to use the app for a few minutes. In return Matthieu and Eliot paid for the participant's meal. Then the guys went home, fixed the issues, and repeated the tests the next day. Source: over 3 years ago

One effective way to balance the benefits of face analysis with privacy concerns is through anonymization techniques. By anonymizing data, organizers can protect attendee privacy while still leveraging face analysis for access control and security. For example, API4AI’s Image Anonymization API can blur or mask facial features, allowing facial recognition without exposing individual identities. - Source: dev.to / 8 months ago

Image anonymization is an effective solution that allows retailers to shield individual identities captured on surveillance footage. By employing AI to blur faces or remove personally identifiable information (PII) from video streams, security teams can monitor store activities without violating customer privacy. These methods ensure that sensitive data isn’t retained or misused, lowering the risk of privacy... - Source: dev.to / 8 months ago

Anonymization: One of the most effective strategies for protecting privacy in AI-driven moderation is anonymization. This process ensures that sensitive data, such as faces or other identifiable features, are obscured or blurred during analysis. For instance, image anonymization technologies can obscure faces or sensitive areas in an image before it is processed by an AI model. This allows the system to... - Source: dev.to / 8 months ago

One major privacy concern in online education is the frequent use of video conferencing and image sharing, which can put student identities at risk. Image Anonymization APIs offer a solution by automatically detecting and blurring faces in photos or videos, ensuring that students' identities remain protected during remote learning sessions. Whether it’s a classroom recording, a group project, or a live video... - Source: dev.to / 8 months ago

On a busy construction site, real-time monitoring of worker activities, safety protocols, and compliance is crucial. However, this must be done in a way that respects workers' privacy. Image anonymization technologies allow companies to mask or blur faces in images and video feeds, ensuring that personal identities remain confidential. This approach enables the collection of vital site data, such as worker... - Source: dev.to / 8 months ago