Artificial intelligence technology is becoming increasingly widely used in the field of image processing, and PramaLLC's latest model, BEN2 (Background Erase Network), has made significant breakthroughs in background elimination. This model further improves the accuracy of image segmentation through confidence-guided cutting technology, providing users with more efficient and reliable tools.
Recently, PramaLLC launched its latest artificial intelligence model, BEN2 (Background Erase Network), which has made significant innovations in the promising segmentation technology. BEN2 uses a Confidence Guided Matting (CGM) pipeline, and uses a refined network to specifically process pixels with lower confidence in the basic model, thereby achieving a more accurate and reliable cutout effect.
The training data set of BEN2 includes DIS5k and PramaLLC's own 22K segmented data set. Thanks to these high-quality data, BEN2 performs excellently in hair cutouts, 4K image processing, object segmentation, and edge optimization. It is worth noting that the basic model is open source, and users can try it by visiting their official website, or integrate BEN2 into their projects through the API.
For developers, installing BEN2 is also very easy. The installation can be completed with just using the pip command, and then you can quickly start image processing with a few lines of code. This model supports single image and batch image processing, with the recommended maximum batch volume of 3 during batch processing to ensure optimal performance of consumer GPUs.
In addition to image processing, BEN2 also provides video segmentation function. Users can easily separate the foreground from the background in the video, and the operation process is equally simple. Just specify the video path and BEN2 can automatically process it. The final generated video will be saved in foreground.webm or foreground.mp4 format for easy subsequent use.
PramaLLC provides free online demonstrations on its official website, where users can experience the powerful functions of BEN2 in person.
Model: https://huggingface.co/PramaLLC/BEN2
HuggingFace online: https://huggingface.co/spaces/PramaLLC/BEN2
Official: https://backgroundase.net/home
Key points:
BEN2 uses confidence-guided cutting technology to improve image cutting accuracy.
Supports single and batch image processing, easy to use.
Provides video segmentation function to facilitate users to handle video foreground and background.
The launch of BEN2 not only brings new possibilities for image and video processing, but also demonstrates the continuous innovation of artificial intelligence technology in segmented fields. Whether developers or ordinary users, they can benefit from it and experience more efficient and accurate tools.