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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Training Data for Exemplar CNN

Terms of use

We provide some of the data we used for training ConvNets in our papers "Discriminative Unsupervised Feature Learning with Convolutional Neural Networks" and "Descriptor Matching with Convolutional Neural Networks: a Comparison to SIFT".

The datasets are provided for research purposes only and without any warranty. Any commercial use is prohibited. If you use one of the datasets in your research, you should cite the corresponding aforementioned paper.

Data used in "Discriminative Unsupervised Feature Learning with Convolutional Neural Networks":	matlab	leveldb
Data used in "Descriptor Matching with Convolutional Neural Networks: a Comparison to SIFT":	matlab