Full explanation of the Segment Anything Model from Meta, along with its code.

As always the slides are freely available: https://github.com/hkproj/segmentany...

Chapters
00:00 Introduction
01:20 Image Segmentation
03:28 Segment Anything
06:58 Task
08:20 Model (Overview)
09:51 Image Encoder
10:07 Vision Transformer
12:30 Masked Autoencoder Vision Transformer
15:32 Prompt Encoder
21:15 Positional Encodings
24:52 Mask Decoder
35:43 Intersection Over Union
37:08 Loss Functions
39:10 Data Engine and Dataset
41:35 Non Maximal Suppression