Composition-1K is a large-scale image matting dataset including 49300 training images and 1000 testing images.
44 PAPERS • 1 BENCHMARK
Dinstinctions-646 are composed of 646 foreground images with manually annotated alpha mattes
15 PAPERS • 1 BENCHMARK
AIM-500 is the first natural image matting test set, contains 500 high-resolution real-world natural images from three types of images (salient opaque foregrounds, salient transparent/meticulous foregrounds, non-salient foregrounds), and multiple categories. The amount of each category is shown in the following table.
14 PAPERS • 1 BENCHMARK
A large-scale aerial farmland image dataset for semantic segmentation of agricultural patterns. Collects 94,986 high-quality aerial images from 3,432 farmlands across the US, where each image consists of RGB and Near-infrared (NIR) channels with resolution as high as 10 cm per pixel.
14 PAPERS • NO BENCHMARKS YET
P3M-10k contains 10421 high-resolution real-world face-blurred portrait images, along with their manually labeled alpha mattes. The Dataset is aimed to aid research efforts in the area of portrait image matting and related topics.
9 PAPERS • 1 BENCHMARK
AM-2k (Animal Matting 2,000 Dataset) consists of 2,000 high-resolution images collected and carefully selected from websites with open licenses. AM-2k contains 20 categories of animals including alpaca, antelope, bear, camel, cat, cattle, deer, dog, elephant, giraffe, horse, kangaroo, leopard, lion, monkey, rabbit, rhinoceros, sheep, tiger, zebra, each with 100 real-world images of various appearance and diverse backgrounds
6 PAPERS • 1 BENCHMARK