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Top Large Language Models with Vision Capabilities
Some Large Language Models have vision capabilities that enable you to ask questions about the contents of images. Below, we list the most popular LMMs that can solve computer vision problems.
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Object Detection
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Instance Segmentation
Semantic Segmentation
Keypoint Detection
Vision-Language
OCR
Pose Estimation
Chart Question Answering
Document Question Answering (DocQA)
Video Classification
Open Vocabulary Object Detection
Multi-Label Classification
Region Proposal
Phrase Grounding
Referring Expression Segmentation
Zero Shot Segmentation
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Foundation Vision
Multimodal Vision
LLMS with Vision Capabilities
Image Embedding
Real-Time Vision
Zero-shot Detection
Image Captioning
Image Similarity
Image Tagging
Visual Question Answering
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Deploy select models (i.e. YOLOv8, CLIP) using the Roboflow Hosted API, or your own hardware using
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PaliGemma
PaliGemma is a vision language model (VLM) by Google that has multimodal capabilities.
Vision-Language
Deploy with Roboflow
GPT-4o
GPT-4o is OpenAI’s third major iteration of GPT-4 expanding on the capabilities of GPT-4 with Vision
Vision-Language
Deploy with Roboflow
LLaVA-1.5
LLaVA is an open source multimodal language model that you can use for visual question answering and has limited support for object detection.
Object Detection
Deploy with Roboflow
CogVLM
CogVLM shows strong performance in Visual Question Answering (VQA) and other vision tasks.
Vision-Language
Deploy with Roboflow
QwenVL
Qwen-VL is an LMM developed by Alibaba Cloud. Qwen-VL accepts images, text, and bounding boxes as inputs. The model can output text and bounding boxes. Qwen-VL naturally supports English, Chinese, and multilingual conversation.
Vision-Language
Deploy with Roboflow
BakLLaVA
BakLLaVA is an LMM developed by LAION, Ontocord, and Skunkworks AI. BakLLaVA uses a Mistral 7B base augmented with the LLaVA 1.5 architecture.
Vision-Language
Deploy with Roboflow
GPT-4 with Vision
GPT-4 with Vision is a multimodal language model developed by OpenAI.
Object Detection
Deploy with Roboflow
Anthropic Claude 3
Vision-Language
Deploy with Roboflow
Google Gemini
Gemini is a family of Large Multimodal Models (LMMs) developed by Google Deepmind focused specifically on multimodality.
Vision-Language
Deploy with Roboflow
Visual Question Answering
Image Tagging
Image Similarity
Image Captioning
Zero-shot Detection
Real-Time Vision
Image Embedding
LLMS with Vision Capabilities
Multimodal Vision
Foundation Vision