Does the model work on videos?

Currently the model only supports images or individual frames from videos.

Last updated: March 16, 2026

AI Image Segmentation

Name: AI Image Segmentation
Rating: 5 (351 reviews)
Author: TopAITools

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5.00 Comments351 Saved

Introduction:

Segment Anything | Meta AI

Launch Date:

February 27, 2023

Social links:

Monthly Visits:

19.5K

WebsiteAI Image Segmentation19 AI Design Generator798 Ai Developer Tools108

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AI Image Segmentation Overview

What is AI Image Segmentation?

AI Image Segmentation is a segmentation system developed by Meta AI that can identify and isolate any object in an image with a single click. It uses a promptable design with zero-shot generalization, allowing it to work with unfamiliar objects without additional training.

How to use AI Image Segmentation?

To use AI Image Segmentation, you can interactively provide prompts such as foreground/background points or bounding boxes. The model will automatically segment the specified objects in the image, and you can also generate multiple masks for ambiguous prompts.

AI Image Segmentation Pros and Cons

Pros

Promptable Segmentation: SAM allows users to segment any object in an image with a single click, utilizing various input prompts without the need for additional training.
Zero-shot Generalization: The model can generalize to unfamiliar objects and images, which enhances its flexibility and usability in diverse scenarios.
Efficient Design: The model is designed to be efficient, with a quick inference time, enabling it to run in a web browser in just a few milliseconds per prompt.
Integration Capabilities: SAM's design enables flexible integration with other systems, allowing for various applications in different environments.

Cons

No Mask Labeling: The model only predicts object masks and does not generate labels, which may limit its usability for certain applications.
Limited Video Support: Currently, SAM only supports images and individual frames from videos, restricting its application in video processing.

Analytics of AI Image Segmentation

AI Image Segmentation Website Traffic Analysis

Visits Over Time

Oct 2025 - Dec 2025 All Traffic

#25,105

AI Tools Rank

19.53K

Monthly Visits

39.66%

Bounce Rate

1.70

Pages Per Visit

0:17

Visit Duration

1.40M

Global Rank

1.74M

Country Rank

Top Keywords

Keyword	Volume	CPC	Estimated Value
segment anything	17.83K	$3.32	$240.00
meta sam	7.37K	$3.47	$30.00
segment anything model	7.13K	$3.49	$90.00
sam meta	6.87K	$2.27	$130.00
segment ai	760	$6.67	$50.00

AI Image Segmentation Compare

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Riffusion	Riffusion \| AI Music Generator	Paid	--	--	Learn more
Luminal	Luminal: Clean, transform and analyze spreadsheets 10x faster with a powerful AI copilot.	Paid	--	--	Learn more

Info current as of post date. Offers and availability may vary by location and are subject to change.

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AI Image Segmentation Prompts (0)

Prompts And Results

Add your own prompts and outputs to help others understand how to use this AI.

AI Image Segmentation Q&A

Foreground/background points, Bounding box, Mask, Text prompts are explored in our paper but the capability is not released.

A ViT-H image encoder that runs once per image and outputs an image embedding, A prompt encoder that embeds input prompts such as clicks or boxes, A lightweight transformer based mask decoder that predicts object masks from the image embedding and prompt embeddings.

The image encoder is implemented in PyTorch and requires a GPU for efficient inference. The prompt encoder and mask decoder can run directly with PyTorch or converted to ONNX and run efficiently on CPU or GPU across a variety of platforms that support ONNX runtime.

The image encoder has 632M parameters. The prompt encoder and mask decoder have 4M parameters.

The image encoder takes ~0.15 seconds on an NVIDIA A100 GPU. The prompt encoder and mask decoder take ~50ms on CPU in the browser using multithreaded SIMD execution.

The model was trained on our SA-1B dataset. See our dataset viewer.

The model was trained for 3-5 days on 256 A100 GPUs.

No, the model predicts object masks only and does not generate labels.

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What is AI Image Segmentation?

How to use AI Image Segmentation?

AI Image Segmentation Pros and Cons

Pros

Cons

Analytics of AI Image Segmentation

AI Image Segmentation Website Traffic Analysis

Visits Over Time

Traffic Sources

Top Keywords

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