Meta-AI SAM Automatic-Semantic-Segmentation without human-prompts or training

# Task:

**Semantically segment objects from image AUTOMATICALLY with the help of META AI SAM, without PROMPTS/TRAINING**

# Approach:

[High-Level Workflow](https://preview.redd.it/wu9auj32uq2c1.png?width=1267&format=png&auto=webp&s=851d729445fb2d21ce3deab7cddb22f9a14fee39)

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>Note: The post is created using my Kaggle notebook -- [https://www.kaggle.com/code/yogendrayatnalkar/sam-automatic-semantic-segmentation](https://www.kaggle.com/code/yogendrayatnalkar/sam-automatic-semantic-segmentation)

**1. Automatic Mask Generation (AMG)**

Utilizing the Segment Anything Model (SAM) from the MetaAI SAM repository, perform instance segmentation on the entire image. This process will identify and isolate individual objects within the image.

**2. Patch-Embedding Extraction & Single Representation per Instance-Segment**

* For each generated instance-segment, …

computervision human identify image instance meta meta ai objects process prompts sam segment segment anything segment anything model segmentation semantic semantic-segmentation training will