Scribble is a new outline dataset consisting of 200 images (150 train, 50 test) for each of 10 classes – basketball, chicken, cookie, cupcake, moon, orange, soccer, strawberry, watermelon and pineapple. All the images have a white background and were collected using search keywords on popular search engines. In each image, we obtain rough
outlines for the image. We find the largest blob in the image after thresholding it into a black and white image. We fill the interior holes of the largest blob and obtain a smooth outline using the SavitzkyGolay filter.
Variants: Scribble
This dataset is used in 1 benchmark:
| Task | Model | Paper | Date |
|---|---|---|---|
| Sketch-to-Image Translation | AODB (full) | Adversarial Open Domain Adaptation for … | 2021-04-12 |
| Sketch-to-Image Translation | EdgeGAN | SketchyCOCO: Image Generation from Freehand … | 2020-03-05 |
Recent papers with results on this dataset: