Test In the Camo Lab
Coppice
Deep Cover

CamoMatrix AI Comparison

Cheli Coppice runs macro-scale, while Forloh Deep Cover leans more mixed-scale, giving each a slightly different feel at various distances. Cheli Coppice leans toward larger, macro-scale blocks, while Forloh Deep Cover 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. Forloh Deep Cover carries a wider spread in scale elements, which can help it stay effective both up close and as animals get farther out.

Cheli Coppice
Forloh Deep Cover
Scale Type
macro
mixed
Scale Bias
leans_macro
balanced
Density
balanced
balanced
Edge Style
mixed
Scale Index
0.750
0.350
Density Index
0.600
0.450
Scale Spread
0.400
0.600
×

AI Breakdown — Side-By-Side Analysis

Cheli Coppice vs Forloh Deep Cover

Cheli Coppice and Forloh Deep Cover have been analyzed using our CamoMatrix AI engine, which measures scale, density, and edge behavior directly from the flat pattern artwork. Cheli Coppice reads more macro-scale, while Forloh Deep Cover 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. Cheli Coppice's scale index trends a touch higher, making its breakup blocks slightly larger than those in Forloh Deep Cover. Cheli Coppice runs a little denser on our readings, while Forloh Deep Cover leaves slightly more background showing through — which some hunters prefer in simpler, more open environments. Forloh Deep Cover also shows a higher spread index, suggesting it can maintain its breakup across a slightly broader range of shot distances. As always, these results come from flat pattern imagery. Real-world performance depends heavily on terrain, season, and how the garments fit and move.

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.

Advertisement from TideWe
×

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