# What is the Segment Anything Model (SAM)? — QANATONE > SAM is an image segmentation model from Meta that can cut out any object in an image at pixel level with a single click. Kaynak: https://www.qanatone.com/en/nedir/sam-nedir/ --- [Explainers](https://www.qanatone.com/en/nedir/) # What is the Segment Anything Model (SAM)? 15 Sep 2026 2 min read Model Type · SAM SAM is an image segmentation model from Meta that can cut out any object in an image at pixel level with a single click. ## What is SAM? The Segment Anything Model is a computer vision model Meta introduced in 2023. Segmentation means determining exactly which pixels in an image belong to an object. A rough box around the object is not enough; its exact outline is extracted. You show SAM what you want by clicking a point or drawing a box, and the model returns a mask for that object. Click on a dog in a photo and every pixel from its ears to its tail is selected. ## Why does it matter? Before SAM, segmentation models were usually trained separately for specific kinds of objects: one model for cars, another for certain tissues in medical scans. SAM was designed as a general model that also works on object types it has never seen, without extra training. To build it, Meta created the SA-1B dataset with more than a billion masks across 11 million images and released the model as open source. SAM 2, released in 2024, brought the same ability to video: an object selected in one frame is tracked through the clip. ## Where is it used? - Photo and video editing: background removal and one click object selection. - E-commerce: cleanly separating product photos from their background. - Medicine: speeding up the outlining of organs and lesions in scans, under expert review. - Agriculture and satellite imagery: separating fields, buildings and water. - Data labeling: preparing the labeled images needed to train new AI models far faster. ## SAM versus VLM A [VLM](https://www.qanatone.com/en/nedir/vlm-nedir/) understands an image and describes it in words: "there is a red cup on the table". SAM does not say what the object is; it shows, pixel by pixel, where it starts and ends. Together they are powerful: the VLM understands what is being looked for and SAM cuts it out of the image. ## More articles [Model Type · SLM ### What is a small language model (SLM)? 15 Sep 2026 · 2 min](https://www.qanatone.com/en/nedir/slm-nedir/)[Marketing · Social Media ### What is social media marketing? A strategy for 2026 15 Sep 2026 · 2 min](https://www.qanatone.com/en/nedir/sosyal-medya-pazarlamasi-nedir/)[Prompting · Basics ### What is a prompt and how do you write a good one? 15 Sep 2026 · 2 min](https://www.qanatone.com/en/nedir/prompt-nedir/)[Prompting · System Prompt ### What is a system prompt and how is it different? 15 Sep 2026 · 2 min](https://www.qanatone.com/en/nedir/system-prompt-nedir/)[Model Settings · Temperature ### What is temperature in AI models? 15 Sep 2026 · 2 min](https://www.qanatone.com/en/nedir/temperature-nedir/)[Core Concept · Token ### What is a token in AI and how is it counted? 15 Sep 2026 · 2 min](https://www.qanatone.com/en/nedir/token-nedir/)[Marketing · Turkey ### Digital marketing in Turkey: the market in numbers 15 Sep 2026 · 2 min](https://www.qanatone.com/en/nedir/turkiye-dijital-pazarlama/)[Guide · Free Tools ### Free AI tools: what is available and what are the limits? 15 Sep 2026 · 1 min](https://www.qanatone.com/en/nedir/ucretsiz-yapay-zeka/)