Top Real Time Vision Models

The YOLOv8 pose estimation model allows you to detect keypoints in an image.

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

The state-of-the-art YOLOv8 model comes with support for instance segmentation tasks.

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

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.

An image classification model built using YOLOv8.

YOLOv7 is a state of the art object detection model.

YOLOv7 Instance Segmentation lets you perform segmentation tasks with the YOLOv7 model.

MT-YOLOv6 is a YOLO based model released in 2022.

YOLOR (You Only Learn One Representation) is an object detection model that uses both implicit and explicit knowledge to make predictions.

YOLOS looks at patches of an image to to form "patch tokens", which are used in place of the traditional wordpiece tokens in NLP.