Against Late Fall Hardwoods, Deep Cover scores 37/100 (), while Desert Shadow scores 63/100 ().
Based on color alignment, breakup scale, and texture density, the AI sees an approximate 26-point lean toward Desert Shadow in this particular environment.
Forloh Deep Cover and King's Camo Desert Shadow are both mixed-scale patterns, so they behave similarly from a scale point of view. Both patterns balances micro and macro elements, keeping them fairly steady across different shot distances. They are also similar in overall density, so neither one is dramatically busier or more open.
Forloh Deep Cover vs King's Camo Desert Shadow
Forloh Deep Cover and King's Camo Desert Shadow have been analyzed using our CamoMatrix AI engine, which measures scale, density, and edge behavior directly from the flat pattern artwork. Both land in the mixed-scale category, meaning they balance fine texture with larger breakup blocks instead of living at one extreme. 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. King's Camo Desert Shadow's numeric scale index runs slightly higher, nudging it a bit more toward macro breakup, while Forloh Deep Cover stays finer on average. King's Camo Desert Shadow lands slightly higher on the density index, adding a bit more visual texture. That can help in chaotic or brushy terrain where extra breakup is useful. 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.
Learn how the CamoMatrix AI evaluates camouflage patterns
Defines the dominant size of shapes in the pattern.
Indicates which scale range the pattern leans toward overall.
How busy the pattern is with shapes and noise.
How hard or soft shape boundaries are.