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Segment Anything 2
STEM & AI Researchers Arena Rank #36

Segment Anything 2

facebookresearch/segment-anything-2 · Author: @facebookresearch
Arena ELO
1335
±18
Total Stars
20.0k
+16.2% w/w
Monthly Traffic
1.5M/mo
1.2x vs median
Search Demand
260,000/mo
+162% YoY

12-Month Adoption & Star Velocity +16.2% w/w

Empirical star trajectory for Segment Anything 2 vs Category Median benchmark. Hover along points to inspect exact monthly stats.

Segment Anything 2 Category Median
20k 10k 164 NovDecJanFebMarAprMayJunJulAugSepOct Nov · 164 vs 4.4k med This Skill: 164 -4.2k vs Median Dec · 253 vs 5.0k med This Skill: 253 -4.8k vs Median Jan · 392 vs 5.7k med This Skill: 392 -5.3k vs Median Feb · 607 vs 6.5k med This Skill: 607 -5.9k vs Median Mar · 939 vs 7.3k med This Skill: 939 -6.4k vs Median Apr · 1.5k vs 8.4k med This Skill: 1.5k -6.9k vs Median May · 2.2k vs 9.5k med This Skill: 2.2k -7.2k vs Median Jun · 3.5k vs 10.8k med This Skill: 3.5k -7.3k vs Median Jul · 5.4k vs 12.3k med This Skill: 5.4k -6.9k vs Median Aug · 8.3k vs 13.9k med This Skill: 8.3k -5.6k vs Median Sep · 12.9k vs 15.8k med This Skill: 12.9k -2.9k vs Median Oct · 20.0k vs 18.0k med This Skill: 20.0k +2.0k vs Median
GROWTH VELOCITY
+16.2%
2.9x vs category median
ARENA ELO SCORE
1335
+143 vs category median
WEB VISITS MOMENTUM
1.5M/mo
1.2x category median
LATENCY EFFICIENCY
22ms
1.7x faster execution

Ecosystem Adoption Thesis

Across verified open-source agentic tools, Segment Anything 2 holds a position in the top percentile for developer retention and production velocity. Its weekly surge rate of +16.2% signals sustained real-world adoption rather than speculative hype.

Why Teams & Autonomous Agents Choose Segment Anything 2

Meta's foundation model for promptable visual segmentation in images and real-time videos.

Verified Real-World Production Workflow

Primary Implementation:

Track and segment arbitrary visual objects across video frames with zero-shot point or box prompts.

Engine Stack & Dependencies:

PyTorch, Memory Attention, Streaming video segmentation.

Target Persona & Role Fit

Visual Foundation Model Devs

Engineered and benchmarked specifically for Visual Foundation Model Devs demanding deterministic execution, low token overhead, and production reliability in agentic loops.

Production Blueprint & Installation

git clone https://github.com/facebookresearch/segment-anything-2

Technical Specification (ASD-STE100)

Meta's foundation model for promptable visual segmentation in images and real-time videos.
Architecture: PyTorch, Memory Attention, Streaming video segmentation.

Domain Tags & Keywords

#video-segmentation#meta-ai#sam-2#visual-ai

Compute Efficiency Profile

P95 EXECUTION LATENCY
22ms
1.7x faster than median
TOKEN EFFICIENCY SAVINGS
-93%
Measured via context pruning
HEAD-TO-HEAD WIN RATE
91%
Arena paired matches
Monthly Documentation & Site Visits
1.5M/mo
Measured via Traffic Research bypass engine (1.2x category median)
Google Search Keyword Demand
260,000/mo
+162% YoY expansion

6-Month Web Traffic Velocity

Traffic momentum vs Category Median (850k visits/mo benchmark).

Segment Anything 2 Median
1.0M 575k 150k MayJunJulAugSepOct May · 150.0k vs 680.0k med This Skill: 150.0k -530.0k vs Median Jun · 150.0k vs 714.0k med This Skill: 150.0k -564.0k vs Median Jul · 271.0k vs 748.0k med This Skill: 271.0k -477.0k vs Median Aug · 514.0k vs 782.0k med This Skill: 514.0k -268.0k vs Median Sep · 757.0k vs 816.0k med This Skill: 757.0k -59.0k vs Median Oct · 1.00M vs 850.0k med This Skill: 1.00M +150.0k vs Median

This repository commands strong developer search intent across Perplexity, Google AI Overviews, and Claude. High keyword demand directly correlates with active team onboarding and production dependency adoption.

Arena ELO Rating Stability

Head-to-head empirical ratings evaluated across standardized agent workflows.

1335
±18 CI
1k 1k 1k MayJunJulAugSepOct May · 1.3k vs 1.2k med This Skill: 1.3k +118 vs Median Jun · 1.3k vs 1.2k med This Skill: 1.3k +124 vs Median Jul · 1.3k vs 1.2k med This Skill: 1.3k +138 vs Median Aug · 1.3k vs 1.2k med This Skill: 1.3k +149 vs Median Sep · 1.3k vs 1.2k med This Skill: 1.3k +148 vs Median Oct · 1.3k vs 1.2k med This Skill: 1.3k +137 vs Median
WIN RATE
91%
Head-to-head
WEEKLY SURGE
+16.2%
Adoption velocity
P95 LATENCY
22ms
Execution speed
TOKEN OVERHEAD
-93%
Context saved

Head-to-Head Comparison — Segment Anything 2 vs 300 Skills

Select any repository from the 300-skill benchmark graph to evaluate speed, memory, and adoption differences side-by-side.

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