Datasets
Links to free data sets for computer vision applications. If you would like to submit a link, please contact us.
| Change Detection Database |
Change Detection database encapsulates a rigorous and comprehensive academic benchmarking effort for testing and ranking existing and new algorithms for change and motion detection much like the Mi |
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| FlickrLogos-32 |
The FlickrLogos-32 dataset contains photos depicting logos and is meant for the evaluation of multi-class logo detection/recognition as well as logo retrieval methods on real-world images. |
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| WorkoutSU-10 |
The WorkoutSU-10 exercise dataset comprises a collection of sequences of human body movements represented by 3D positions of skeletal joints. |
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| VascuSynth |
VascuSynth, short for Vascular Synthesizer, is an algorithm and accompanying software for synthesizing 3D vascular or other tubular, tree-like structures. |
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| AVA: A Large-Scale Database for Aesthetic Visual Analysis |
Aesthetic Visual Analysis (AVA) contains over 250,000 images along with a rich variety of meta-data including a large number of aesthetic scores for each image, semantic labels for over 60 categori |
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| LIRIS human activities dataset |
This dataset had been originally shot for the ICPR 2012 human activities recognition and localization challenge (ICPR HARL). |
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| QMUL underGround Re-IDentification (GRID) Dataset |
The QMUL underGround Re-IDentification (GRID) dataset contains 250 pedestrian image pairs. Each pair contains two images of the same individual seen from different camera views. |
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| TME Motorway Dataset |
The “TME Motorway Dataset” is composed of 28 clips for a total of approximately 27 minutes (30000+ frames) with vehicle annotation. |
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| Violent Scenes Detection |
The Violent Scenes Detection (VSD) benchmark is a collection of ground-truth files based on the extraction of violent events in movies, together with high level audio and video concepts provided by |
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| Benchmark for 3D Interest Point Detection |
This benchmark aims to provide tools to evaluate 3D Interest Point Detection Algorithms with respect to human generated ground truth. |
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