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Top Visual Question Answering (VQA) Models
Visual Question Answering (VQA) is a category of vision models to which you can ask a question about a model and retrieve a response. Discover popular VQA models below.
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Object Detection
Classification
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
Roboflow Inference
.
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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
FastSAM
FastSAM is an image segmentation model trained using 2% of the data in the Segment Anything Model SA-1B dataset.
Instance Segmentation
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
Florence 2
Florence-2 is a lightweight vision-language model open-sourced by Microsoft under the MIT license.
Open Vocabulary Object Detection
Deploy with Roboflow
PaliGemma-2
PaliGemma-2 is a multimodal model developed by Google.
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
