Datasets

Binaries/Code

Datasets

Open Source Software

		Freiburg-Berkeley Motion Segmentation Dataset			Video Segmentation Benchmark
		Image Sequences			TEM Dataset
		TILDA Textile Texture Database			Training data for Exemplar CNN
		Generated Matching Dataset			Training data for chair generation
		Stereo Ego-motion Dataset			Optical Flow Datasets: "Flying Chairs", "ChairsSDHom"
		Scene Flow Datasets			Human Part Segmentation Datasets
		Rendered Handpose Dataset			Pedestrian Zone Scene
		FreiHAND Dataset			HanCo Dataset
		Human Pose RGBD Datasets			OVAD: Open-Vocabulary Attribute Detection Dataset
		ADE-OoD: a benchmark for dense Out-of-Distribution detection on natural images.

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Pedestrian Zone Scene

This dataset contains images of a street sign. The scene poses several challenges to reconstruction algorithms:

• Objects with small volume (sign, posts)
• Reflections and small regions with low texture

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Terms of use

The dataset is provided for research purposes. Any commercial use is prohibited. When using the dataset in your research work, cite the following paper:

B. Ummenhofer and T. Brox, "Point-Based 3D Reconstruction of Thin Objects," in 2013 IEEE International Conference on Computer Vision, 2013, pp. 969-976.