Animal Matting 2,000 Dataset
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
Variants: AM-2K
This dataset is used in 1 benchmark:
| Task | Model | Paper | Date |
|---|---|---|---|
| Image Matting | StyleMatte | Adversarially-Guided Portrait Matting | 2023-05-04 |
| Image Matting | GFM(r') | Bridging Composite and Real: Towards … | 2020-10-30 |
| Image Matting | GFM(r2b) | Bridging Composite and Real: Towards … | 2020-10-30 |
| Image Matting | GFM(r) | Bridging Composite and Real: Towards … | 2020-10-30 |
| Image Matting | GFM(d) | Bridging Composite and Real: Towards … | 2020-10-30 |
| Image Matting | SHMC | Boosting Semantic Human Matting with … | 2020-04-10 |
| Image Matting | SHM | Semantic Human Matting | 2018-09-05 |
Recent papers with results on this dataset: