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BSDS500/300, BSD68, Set12

BSDS500/300 is a dataset provided by the Berkeley Vision Lab for image segmentation or contour detection, and is also used for super‑resolution reconstruction. The database contains 200 training images, 200 validation images, and 100 test images, with ground‑truth annotations stored in MAT files. BSD68 is a color dataset for image denoising benchmarks and is part of the Berkeley Segmentation Dataset and Benchmark. Set12 contains 12 images for evaluating image denoising algorithms.

Updated 11/1/2021
github

Description

Dataset Overview

BSDS500/300

  • Source: Provided by the Berkeley Vision Lab.
  • Purpose: Primarily for image segmentation and contour detection, also applicable to super‑resolution reconstruction.
  • Composition: 200 training images, 200 validation images, 100 test images.
  • Annotations: Manually labeled ground truth saved as MAT files, containing annotations from multiple raters.
  • File Format: MAT, convenient for direct loading in MATLAB.

Download Links

Loading Scripts

  • Contour Visualization: Use make_gt_bondary_image.m to generate binary contour maps.
  • Segmentation Visualization: Use make_gt_seg_image.m to produce segmentation visualizations.

BSD68

  • Purpose: Benchmark for image denoising algorithms.
  • Download: BSD68 Download

Set12

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Topics

Image Processing
Computer Vision

Source

Organization: github

Created: 5/18/2019

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