Test In the Camo Lab
Taramac
Marsh

AI Environment Insight

Against Late Fall Hardwoods, Taramac scores 65/100 (), while Marsh scores 36/100 ().

Based on color alignment, breakup scale, and texture density, the AI sees an approximate 29-point lean toward Taramac in this particular environment.

CamoMatrix AI Comparison

King of the Mountain Taramac runs micro-scale, while Sitka Marsh leans more mixed-scale, giving each a slightly different feel at various distances. King of the Mountain Taramac leans toward micro-scale detail, while Sitka Marsh balances micro and macro elements, which shifts how each holds up in close cover versus more open sightlines. They are also similar in overall density, so neither one is dramatically busier or more open.

King of the Mountain Taramac
Sitka Marsh
Scale Type ⓘ
micro
mixed
Scale Bias ⓘ
leans_micro
balanced
Density ⓘ
balanced
balanced
Edge Style ⓘ
mixed
mixed
Scale Index ⓘ
0.250
0.500
Density Index ⓘ
0.600
0.600
Scale Spread ⓘ
0.400
0.400
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AI Breakdown — Side-By-Side Analysis

King of the Mountain Taramac vs Sitka Marsh

King of the Mountain Taramac and Sitka Marsh have been analyzed using our CamoMatrix AI engine, which measures scale, density, and edge behavior directly from the flat pattern artwork. King of the Mountain Taramac reads more micro-scale, while Sitka Marsh trends mixed-scale. In the field this usually influences how a pattern holds together in tight cover versus more open terrain. Density is similar, so neither pattern overwhelms the eye or leaves too much empty space. Edge work is alike as well — both mixes both hard and soft edges, which affects how smoothly (or abruptly) each pattern merges with real brush, trunks, and rocks. Sitka Marsh's numeric scale index runs slightly higher, nudging it a bit more toward macro breakup, while King of the Mountain Taramac stays finer on average. As always, these results come from flat pattern imagery. Real-world performance depends heavily on terrain, season, and how the garments fit and move.

Scale Type
micro
mixed
Scale Bias
leans_micro
balanced
Density
balanced
balanced
Edge Style
mixed
mixed
Scale Index
0.250
0.500
Density Index
0.600
0.600
Scale Spread
0.400
0.400

This is a pattern-only comparison from flat artwork. Terrain, season, and real backgrounds will still push one or the other ahead in specific setups.

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CamoMatrix AI Classification Guide

Learn how the CamoMatrix AI evaluates camouflage patterns

Scale Type

Defines the dominant size of shapes in the pattern.

  • Micro — fine details for close-range concealment
  • Mixed — blend of micro + macro elements (versatile)
  • Macro — large, bold shapes built for distance

Scale Bias

Indicates which scale range the pattern leans toward overall.

  • Leans Micro — better in brush, timber, inside 40–60 yards
  • Balanced — performs similarly near and far
  • Leans Macro — stronger breakup in open terrain or longer shots

Density

How busy the pattern is with shapes and noise.

  • Sparse — more background shows through
  • Moderate — balanced texture
  • Dense — lots of detail packed tightly together

Edge Style

How hard or soft shape boundaries are.

  • Hard Edges — sharp multipoint outlines
  • Soft / Blended — smooth transitions (like spray or blur)
  • Mixed — both present

Numeric Metrics

  • Scale Index — 0.0 (micro) → 1.0 (macro)
  • Density Index — 0.0 (sparse) → 1.0 (dense)
  • Scale Spread — how widely the pattern spans micro → macro

This classification system is exclusive to CamoMatrix and helps quantify how a pattern performs at different distances and environments.