Dataset of birds with segmentation ground truth:

This dataset was used to evaluate our method of the paper Oriented Image Foresting Transform Segmentation: Connectivity Constraints with Adjustable Width. The database is composed of 50 public images of birds from the web site https://pixabay.com/en (Figure 1a) with ground truths (Figure 1b). It contains objects with thin and elongated parts.

(a) Original image(b) Ground Truth
Figure 1: A sample image and its ground truth.

For more information, visit the author's publisher, Mansilla.

Supplementary materials of the Paper Bandeirantes:
A Graph-based Approach for Curve Tracing and Boundary Tracking:

The ground truth database of 70 public images and the source code used to evaluate our method are available. The experiments consist in a curve tracing task of an automatic grading system, where the idea is to automatically detect drawn smooth curves connecting empty spaces in a given partial code to the selected options from a large list of commands (Figures 2a-b).

(a)(b)
Figure 2: A scanned answer sheet and the computed curves.

For more information, visit the author's publisher, Condori.

A Dataset for Sky Segmentation:

This Sky dataset was used to evaluate superpixel algorithms, using the superpixel-based sky segmentation method proposed by Juraj Kostolansky. It contains a collection of 60 images based on the Caltech Airplanes Side dataset by R. Fergus with ground truth for sky segmentation (Figures 3a-b).

(a) Original image(b) Ground Truth
Figure 3: A sample image and its ground truth.

For more information, visit the author's publisher, Eduardo B. Alexandre.