# High-Precision Feature Extraction

A vision Transformer model based on SigLIP 2, designed for image feature extraction and suitable for multilingual vision-language tasks.

AIM-v2 is an image encoder based on the timm library, utilizing distillation training methods, suitable for image feature extraction tasks.

DINOv2 is a vision transformer-based image feature extraction model that enhances feature extraction capabilities through the introduction of register mechanisms.

Face recognition model based on keypoint relative position encoding, using ViT architecture and trained on the WebFace12M dataset

Deep face recognition model based on the ArcFace loss function, trained on the WebFace4M dataset using the IR101 architecture