AI Image Segmentation
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
Traffic Analytics of AI Image Segmentation
Visits Over Time
Traffic Sources
Oct 2025 - Dec 2025 Worldwide Desktop Only
- Search: 51.14%
- Direct: 34.21%
- Referrals: 10.26%
- Social: 3.31%
- Paid Referrals: 0.88%
- Mail: 0.12%
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
| Tool Name | Introduction | Pricing | Type | Rating | Added on | Learn more |
|---|---|---|---|---|---|---|
 | Midjourney is an AI research lab focused on expanding human imaginative powers. | Freemium | -- | March 7, 2023 | Get deal | |
 | Help your employees be always in-the-know, enhancing decision-making, and saving their valuable time. | Freemium | -- | November 23, 2025 | Get deal | |
Descript: Edit Videos & Podcasts Like a Doc | AI Video Editor | Freemium | -- | February 2, 2025 | Get deal |
Info current as of post date. Offers and availability may vary by location and are subject to change.
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.
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