The Camouflage Challenge:

To write an algorithm that takes the training images as input and then recognizes and segments objects in the test set

The training set consists of 20 images of 9 objects. Each image has a novel camouflage albedo texture map, and a novel background of other digital embryos, also with a novel arrangements and camouflage patterns. The target object is in front, i.e. "in plain view".

The answers show a a green colored version of each of the 9 target objects so that you can check your answers.

For quantitative tests, there is also a test set that consists of 20 images of 9 objects. Each image is generated as with the training set.