Against Late Fall Hardwoods, Marshfield scores 32/100 (), while Obskura Grom scores 57/100 ().
Based on color alignment, breakup scale, and texture density, the AI sees an approximate 25-point lean toward Obskura Grom in this particular environment.
Forloh Marshfield and Kryptek Obskura Grom are both mixed-scale patterns, so they behave similarly from a scale point of view. Forloh Marshfield balances micro and macro elements, while Kryptek Obskura Grom leans toward larger, macro-scale blocks, 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 Marshfield vs Kryptek Obskura Grom
Forloh Marshfield and Kryptek Obskura Grom 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 style diverges: Forloh Marshfield mixes both hard and soft edges, while Kryptek Obskura Grom leans into smoother, blended transitions. Softer edges often melt better into natural backgrounds, while harder edges can create stronger breakup in certain lighting. Forloh Marshfield's scale index trends a touch higher, making its breakup blocks slightly larger than those in Kryptek Obskura Grom. Kryptek Obskura Grom 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.