11–20 of 26 posts
smashing idea :) thank you! i was just about to use paid google cloud atuff for that and here's a surprise like that, thanks again!
Hey everyone, we are creating a CompreFace - face recognition solution for developers that could be used without a machine learning experience. It can be used as any paid SaaS like Amazon Rekognition, but it’s totally free. How to use it: 1. Start the service with one command using docker-compose config 2. Use UI to create face collections 3. Use REST API to add faces to face collections and recognize faces We also h…
Hey everyone, we are creating a CompreFace - face recognition solution for developers that could be used without a machine learning experience. It can be used as any paid SaaS like Amazon Rekognition, but it’s totally free. How to use it: 1. Start the service with one command using docker-compose config 2. Use UI to create face collections 3. Use REST API to add faces to face collections and recognize faces We also h…
Typically an FR system includes some reference for face/head orientation. "Able to detect faces when the orientation is +/y some roll, pitch, yaw of looking directly at the camera", for example. Additionally, a series/set of ROC Curves demonstrating the system against known datasets would be very useful.
About comparison with other systems - as I mentioned we use Facenet under the hood. According to their GitHub, the accuracy on LFW data set is 99.65%: https://github.com/davidsandberg/facenet#pre-trained-models
Earlier quoted context omitted.
Typically an FR system includes some reference for face/head orientation. "Able to detect faces when the orientation is +/y some roll, pitch, yaw of looking directly at the camera", for example. Additionally, a series/set of ROC Curves demonstrating the system against known datasets would be very useful.
We are going to add landmarks information in one of the next releases. I think It could be calculated from this data. But I understand that it's better to add such functionality to CompreFace, I'll add this to our backlog About comparison with other systems - as I mentioned we use Facenet under the hood. According to their GitHub, the accuracy on LFW data set is 99.65%: https://github.com/davidsandberg/facenet#pre-tr…
edit: never mind, you do https://github.com/exadel-inc/CompreFace/blob/master/embeddi...
Earlier quoted context omitted.
We are going to add landmarks information in one of the next releases. I think It could be calculated from this data. But I understand that it's better to add such functionality to CompreFace, I'll add this to our backlog About comparison with other systems - as I mentioned we use Facenet under the hood. According to their GitHub, the accuracy on LFW data set is 99.65%: https://github.com/davidsandberg/facenet#pre-tr…
have you considered to switch to https://github.com/deepinsight/insightface as base model? edit: never mind, you do https://github.com/exadel-inc/CompreFace/blob/master/embeddi...
> You need to sign up for the system and log in into the account you’ve just created or use the one you already have. Free my ass. EDIT: My bad. I understood it like you had to log into a service outside the application itself. I'm terribly sorry for my comment.
It's still free though. Are you paying for anything with this service?
> You need to sign up for the system and log in into the account you’ve just created or use the one you already have. Free my ass. EDIT: My bad. I understood it like you had to log into a service outside the application itself. I'm terribly sorry for my comment.
It's still free though. Are you paying for anything with this service?
smashing idea :) thank you! i was just about to use paid google cloud atuff for that and here's a surprise like that, thanks again!
Earlier quoted context omitted.
Typically an FR system includes some reference for face/head orientation. "Able to detect faces when the orientation is +/y some roll, pitch, yaw of looking directly at the camera", for example. Additionally, a series/set of ROC Curves demonstrating the system against known datasets would be very useful.
We are going to add landmarks information in one of the next releases. I think It could be calculated from this data. But I understand that it's better to add such functionality to CompreFace, I'll add this to our backlog About comparison with other systems - as I mentioned we use Facenet under the hood. According to their GitHub, the accuracy on LFW data set is 99.65%: https://github.com/davidsandberg/facenet#pre-tr…