Using in-depth learning technology,Judging the degree of violence involved in a picture,Given separately war Scene、Riot scenes、Bloody scenes、Weapon or Weapon Holder、Special Symbols、Special Dressed Person、Normal three confidence scores、Users can use confidence score to automatically filter irregular images according to business needs、Avoiding product risk in time、Reduce audit manpower cost by a large margin.
Support file formats:.Png,.jpg,.jpeg,.bmp,.webp; maximum support file is 80MB.
Drag the image to this area, or click upload directly.
Video, live broadcasting and other multimedia frame extraction detection can quickly and efficiently detect non-conforming videos and quickly eliminate the risk of product violence.
It can check the pictures uploaded by users, avoid users uploading images that do not conform to the specifications, and ensure that the quality of product content can be controlled.
The accuracy rate can reach 99.5%, and the average review rate is less than 5%.
Real-time monitoring for 7 * 24 hours revealed the millisecond response of terrorist content.
Hundreds of billions of sample data resources are accumulated, and a large number of irregular data sample content is abundant.
According to our introductory guide, we can easily experience violent terror recognition with a few mouse clicks.
We provide you with personalized pre-sale purchase consulting services, as well as comprehensive technical after-sales services.