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.

Object Detection
Object Detection
Object Detection
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Object Detection

Model Size:

MB

Parameters:

29500000

Architecture:

YOLO

YOLOv10 is a real-time object detection model introduced in the paper "YOLOv10: Real-Time End-to-End Object Detection". Learn more »
Multimodal Model
Multimodal Model
Multimodal Model
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Multimodal Model

Model Size:

MB

Parameters:

50000000

Architecture:

Object Detection
Object Detection
Object Detection
Deploy on Device with Roboflow✅
Object Detection

Model Size:

MB

Parameters:

57300000

Architecture:

YOLO

YOLOv9 is an object detection model architecture released on February 21st, 2024. Learn more »
Object Detection
Object Detection
Object Detection
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Object Detection

Model Size:

MB

Parameters:

69000000

Architecture:

YOLO

YOLO-World is a zero-shot object detection model. Learn more »
Keypoint Detection
Keypoint Detection
Keypoint Detection
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Keypoint Detection

Model Size:

MB

Parameters:

Architecture:

YOLO

YOLO-NAS Pose is a keypoint detection model developed by Deci AI. Learn more »
Keypoint Detection
Keypoint Detection
Keypoint Detection
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Keypoint Detection

Model Size:

MB

Parameters:

Architecture:

YOLO

The YOLOv8 pose estimation model allows you to detect keypoints in an image. Learn more »
Instance Segmentation
Instance Segmentation
Instance Segmentation
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Instance Segmentation

Model Size:

MB

Parameters:

636000000

Architecture:

FastSAM is an image segmentation model trained using 2% of the data in the Segment Anything Model SA-1B dataset. Learn more »
Object Detection
Object Detection
Object Detection
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Object Detection

Model Size:

67000000.0

MB

Parameters:

Architecture:

YOLO

YOLO-NAS is an object detection model developed by Deci that achieves SOTA performances compared to YOLOv5, v7, and v8. Learn more »
Classification
Classification
Classification
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Classification

Model Size:

MB

Parameters:

68200000

Architecture:

YOLO

An image classification model built using YOLOv8. Learn more »
Instance Segmentation
Instance Segmentation
Instance Segmentation
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Instance Segmentation

Model Size:

MB

Parameters:

68200000

Architecture:

YOLO

The state-of-the-art YOLOv8 model comes with support for instance segmentation tasks. Learn more »
Object Detection
Object Detection
Object Detection
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Object Detection

Model Size:

68200000.0

MB

Parameters:

Architecture:

YOLO, CNN

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

Model Size:

MB

Parameters:

150000000

Architecture:

YOLO

YOLOv7 Instance Segmentation lets you perform segmentation tasks with the YOLOv7 model. Learn more »
Object Detection
Object Detection
Object Detection
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Object Detection

Model Size:

68.7

MB

Parameters:

99.1 million parameters

Architecture:

CNN, YOLO

YOLOX is a high-performance object detection model. Learn more »
Object Detection
Object Detection
Object Detection
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Object Detection

Model Size:

202.0

MB

Parameters:

12,786,711 (S2D)

Architecture:

CNN, YOLO

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

Model Size:

MB

Parameters:

85000000

Architecture:

Transformer, YOLO

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

Model Size:

75.6

MB

Parameters:

Architecture:

YOLO, CNN

YOLOv7 is a state of the art object detection model. Learn more »
Object Detection
Object Detection
Object Detection
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Object Detection

Model Size:

MB

Parameters:

Architecture:

CNN, YOLO

MT-YOLOv6 is a YOLO based model released in 2022. Learn more »
Classification
Classification
Classification
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Classification

Model Size:

MB

Parameters:

428000000.0

Architecture:

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. Learn more »
Object Detection
Object Detection
Object Detection
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Object Detection

Model Size:

14.1

MB

Parameters:

7.2 million

Architecture:

CNN, YOLO

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

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