Close the Sim-to-Real gap and train models that truly handle real world noise.
Trusted by industry leaders & innovators.
Why use Repli5?
0 Days
waiting for logging or annotation of training data
10:1
Repli5-to-Real image ratio for comparable model performance
$2,200
estimated savings per 1000 images vs. market rates
FOUNDATIONAL RESEARCH
State of The Art
A curation selection of technical papers that inform and inspire our approach to training data generation.
Pixel-perfect alignment.
Our annotations are not the added to the image. They are the DNA of the scene. Generate bounding boxes or semantic labels natively aligned to the geometry.
LIGHTING:SPOTLIGHT
Environment:ASSEMBLY_LINE
REVEAL_GROUND_TRUTH
REVEAL_VARIATION
Environment:ASSEMBLY_LINE
BIN_PICKING
Long tail training data
A single semantic frame can spawn infinite visual variations. Change backgrounds, lighting, reflections, add scratches, residual lubricant or production mill marks.
Generate the impossible to break model biases. Decouple object features from background noise to improve model detection in the field.
Hello / Good morning
Bonjour
GLOBAL_CHANGE
DOMAIN_RANDOM
REVEAL_SCENE
