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Top Image Tagging Models
Use image tagging models to assign one or more labels to an image.
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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
OpenAI CLIP
CLIP (Contrastive Language-Image Pre-Training) is an impressive multimodal zero-shot image classifier that achieves impressive results in a wide range of domains with no fine-tuning. It applies the recent advancements in large-scale transformers like GPT-3 to the vision arena.
Video Classification
Deploy with Roboflow
CogVLM
CogVLM shows strong performance in Visual Question Answering (VQA) and other vision tasks.
Vision Language
Deploy with Roboflow
SigLIP
SigLIP is an image embedding model defined in the "Sigmoid Loss for Language Image Pre-Training" paper.
Classification
Deploy with Roboflow
MetaCLIP
MetaCLIP is a zero-shot classification and embedding model developed by Meta AI.
Classification
Deploy with Roboflow
BLIPv2
BLIPv2 is a multimodal model developed by Salesforce Research.
Classification
Deploy with Roboflow
BLIP
Classification
Deploy with Roboflow
GPT-4 with Vision
GPT-4 with Vision is a multimodal language model developed by OpenAI.
Object Detection
Deploy with Roboflow
MobileCLIP
MobileCLIP is an image embedding model developed by Apple and introduced in the "MobileCLIP: Fast Image-Text Models through Multi-Modal Reinforced Training" paper
Classification
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