Reasoning vision language model (VLM) for physical AI and robotics.
Lightweight reasoning model for applications in latency bound, memory/compute constrained environments
Multi-modal vision-language model that understands text/img and creates informative responses
A general purpose multimodal, multilingual 128 MoE model with 17B parameters.
A multimodal, multilingual 16 MoE model with 17B parameters.
Cutting-edge open multimodal model exceling in high-quality reasoning from images.
Cutting-edge vision-language model exceling in retrieving text and metadata from images.
Lightweight multilingual LLM powering AI applications in latency bound, memory/compute constrained environments
Multi-modal vision-language model that understands text/img/video and creates informative responses
Advanced AI model detects faces and identifies deep fake images.
Cutting-edge vision-language model exceling in high-quality reasoning from images.
Cutting-edge vision-Language model exceling in high-quality reasoning from images.
Robust image classification model for detecting and managing AI-generated content.
Cutting-edge open multimodal model exceling in high-quality reasoning from images.
Lightweight multilingual LLM powering AI applications in latency bound, memory/compute constrained environments
Grounding dino is an open vocabulary zero-shot object detection model.
Visual Changenet detects pixel-level change maps between two images and outputs a semantic change segmentation mask
EfficientDet-based object detection network to detect 100 specific retail objects from an input video.
