Bosch Small Traffic Lights Dataset

We present the Bosch Small Traffic Lights Dataset, an accurate dataset for vision-based traffic light detection. Vision-only based traffic light detection and tracking is a vital step on the way to fully automated driving in urban environments. We hope that this dataset allows for easy testing of objection detection approaches, especially for small objects in larger images.

Weakly Supervised Learning for Industrial Optical Inspection

In the following, we present a synthetic benchmark corpus for detect detection on statistically textured surfaces.We hope that it facilitates to further develop and benchmark classification algorithms for applications of industrial optical inspection. All data is publicly available and can be downloaded from this page.

Simulated Camera Data for EMVA 1288 Verification

This simulated data can serve to verify the methods and algorithms according to EMVA 1288.

Real Static Scene Image Sequences for the Evaluation of Structure From Motion Methods in an Automotive Context

This data set contains five real-life sequences recorded by a stereo camera setup mounted in a car moving through (almost) static everyday scenes. Their purpose is the evaluate structure from motion approaches in an automotive application. The recorded image data and rectified stereo image pairs are provided.

Farman Institute 3D Point Sets

This webpage is dedicated to a new type of data: high precision raw data coming from the acquisition of objects by a 3D laser scanner. This dataset was peer-reviewed by Image Processing On Line: Farman Institute 3D Point Sets.

Challenging Data for Stereo and Optical Flow

Selected scenes for stereo disparity and optical flow estimation containing yet unsolved challenges.

KinectFusion Capture Tool and Example Datasets

KinectFusion Datasets and Capture Tool mentioned in the IROS 2012 paper: When Can We Use KinectFusion for Ground Truth Acquisition?

The HCIBOX Depth Evaluation Dataset

This Dataset was created for tasks involving sensor fusion and depth camera evaluation and does consist of 3 calibrated stereo and ToF camera views with ground truth depth.

Prague Texture Segmentation Datagenerator and Benchmark

The Prague texture segmentation data-generator and benchmark is a web based ( service designed to mutually compare and rank different static or dynamic texture segmenters, and to support new supervised or unsupervised classification methods development. The benchmark verifies their performance characteristics on monospectral, multispectral, bidirectional texture function (BTF), satellite or dynamic texture data and enables to test their noise robustness, scale, and rotation or illumination invariance.

Synthezising Real World Stereo Challenges

On this page, we provide datasets discussed in the paper: Synthezising Real World Stereo Challenges. With these datasets, we aim at isolating specific challenges for stereo matchers. Previous synthetic datasets did not seperate different problematic issues in stereo analysis.