Top Image Tagging Models

Use image tagging models to assign one or more labels to an image.

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

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GPT-4o

GPT-4o is OpenAI’s third major iteration of GPT-4 expanding on the capabilities of GPT-4 with Vision

Vision-Language

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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

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CogVLM

CogVLM shows strong performance in Visual Question Answering (VQA) and other vision tasks.

Vision-Language

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SigLIP

SigLIP is an image embedding model defined in the "Sigmoid Loss for Language Image Pre-Training" paper.

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MetaCLIP

MetaCLIP is a zero-shot classification and embedding model developed by Meta AI.

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BLIPv2

BLIPv2 is a multimodal model developed by Salesforce Research.

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BLIP

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GPT-4 with Vision

GPT-4 with Vision is a multimodal language model developed by OpenAI.

Object Detection

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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

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Visual Question Answering

Image Similarity

Image Captioning

Zero-shot Detection

Real-Time Vision

Image Embedding

LLMS with Vision Capabilities

Multimodal Vision

Foundation Vision