Top Real Time Vision Models

Explore models that run in real-time (or close to real-time).

Deploy select models (i.e. YOLOv8, CLIP) using the Roboflow Hosted API, or your own hardware using Roboflow Inference.

Showing

of

models.

YOLOv8

YOLOv8 is a state-of-the-art object detection and image segmentation model created by Ultralytics, the developers of YOLOv5.

Object Detection

Deploy with Roboflow

YOLOv5

A very fast and easy to use PyTorch model that achieves state of the art (or near state of the art) results.

Object Detection

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.

Deploy with Roboflow

YOLOv7

YOLOv7 is a state of the art object detection model.

Object Detection

Deploy with Roboflow

Visual Question Answering

Image Similarity

Image Captioning

Zero-shot Detection

Real-Time Vision

Image Embedding

LLMS with Vision Capabilities

Multimodal Vision

Foundation Vision