Computer Vision
What Is Segment Anything Model (SAM)? Segmentation Principles and Uses
The encoder-decoder architecture and prompt-based approach behind Meta AI's general-purpose segmentation model SAM, and how it evolved into SAM 2 and SAM 3.
Computer Vision
Covering the principles and applications of vision techniques: object detection, segmentation, depth estimation, and 3D reconstruction.
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What Is Depth Anything? Estimating Depth From a Single Photo
How Depth Anything, a monocular depth estimation model, predicts per-pixel relative distance from just one image taken with a single camera.
Computer Vision
What Is YOLO? Why Object Detection Can Run in Real Time
The core idea behind YOLO, which processes an image in a single forward pass to predict object locations and classes at once, and the architectural changes in the latest YOLO26.
Computer Vision
SAM vs. YOLO: Comparing Segmentation and Detection
YOLO and SAM solve different problems in computer vision. Here's how they compare, and when to reach for each one.
Computer Vision
How Stereo Vision Works: Calculating Depth from Two Cameras
A walkthrough of the triangulation principle behind stereo vision, and the pipeline required to turn two camera images into depth.