90 lines
7.8 KiB
Plaintext
90 lines
7.8 KiB
Plaintext
[38;5;12mawesome-datasets[39m
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[38;5;12m================[39m
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[38;5;12mA curated list of awesome datasets for papers/experiments/validation.[39m
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[38;5;12m- [39m[38;5;14m[1mAwesome Datasets[0m[38;5;12m (#awesome-datasets)[39m
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[48;5;235m[38;5;249m- **Classification** (#classification)[49m[39m[48;5;235m[38;5;249m [49m[39m
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[48;5;235m[38;5;249m- **Semi-Supervised** (#semi-supervised)[49m[39m[48;5;235m[38;5;249m [49m[39m
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[48;5;235m[38;5;249m- **Regression** (#regression)[49m[39m[48;5;235m[38;5;249m [49m[39m
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[48;5;235m[38;5;249m- **Time-Series** (#time-series)[49m[39m[48;5;235m[38;5;249m [49m[39m
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[48;5;235m[38;5;249m- **Unsupervised (clustering)** (#unsupervised)[49m[39m[48;5;235m[38;5;249m [49m[39m
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[48;5;235m[38;5;249m- **Face Recognition** (#face-recognition)[49m[39m[48;5;235m[38;5;249m [49m[39m
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[48;5;235m[38;5;249m- **Image Processing** (#image-processing)[49m[39m[48;5;235m[38;5;249m [49m[39m
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[48;5;235m[38;5;249m- **Handwriting Recognition** (#handwriting-recognition)[49m[39m
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[48;5;235m[38;5;249m- **Text Classification** (#text-classification)[49m[39m[48;5;235m[38;5;249m [49m[39m
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[38;2;255;187;0m[4mClassification[0m
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[48;2;30;30;40m[38;5;13m[3mDatasets for classification.[0m
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[48;5;12m[38;5;11m⟡[49m[39m[38;5;12m [39m[38;5;14m[1mKEEL - General[0m[38;5;12m (http://sci2s.ugr.es/keel/category.php?cat=clas) - General classification datasets.[39m
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[48;5;12m[38;5;11m⟡[49m[39m[38;5;12m [39m[38;5;14m[1mKEEL - Missing-values[0m[38;5;12m (http://sci2s.ugr.es/keel/missing.php) - Missing values datasets.[39m
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[48;5;12m[38;5;11m⟡[49m[39m[38;5;12m [39m[38;5;14m[1mKEEL - Imbalanced datasets[0m[38;5;12m (http://sci2s.ugr.es/keel/imbalanced.php) - Imbalanced datasets for classification.[39m
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[48;5;12m[38;5;11m⟡[49m[39m[38;5;12m [39m[38;5;14m[1mKEEL - Multi-label[0m[38;5;12m (http://sci2s.ugr.es/keel/multilabel.php) - Multi-label datasets.[39m
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[48;5;12m[38;5;11m⟡[49m[39m[38;5;12m [39m[38;5;14m[1mKEEL - Class noise[0m[38;5;12m (http://sci2s.ugr.es/keel/classNoise.php) - Datasets with class noise.[39m
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[48;5;12m[38;5;11m⟡[49m[39m[38;5;12m [39m[38;5;14m[1mKEEL - Attribute noise[0m[38;5;12m (http://sci2s.ugr.es/keel/attributeNoise.php) - Datasets with attribute noise.[39m
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[38;2;255;187;0m[4mSemi-Supervised[0m
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[48;2;30;30;40m[38;5;13m[3mDatasets for semi-supervised applications.[0m
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[48;5;12m[38;5;11m⟡[49m[39m[38;5;12m [39m[38;5;14m[1mKEEL - semi-supervised[0m[38;5;12m (http://sci2s.ugr.es/keel/semisupervised.php) - Datasets for semi-supervised experiments.[39m
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[48;5;12m[38;5;11m⟡[49m[39m[38;5;12m [39m[38;5;14m[1mKEEL - semi-supervised[0m[38;5;12m (http://sci2s.ugr.es/keel/semisupervised.php) - Datasets for semi-supervised experiments.[39m
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[38;2;255;187;0m[4mRegression[0m
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[48;2;30;30;40m[38;5;13m[3mDatasets for regression applications.[0m
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[48;5;12m[38;5;11m⟡[49m[39m[38;5;12m [39m[38;5;14m[1mKEEL - regression[0m[38;5;12m (http://sci2s.ugr.es/keel/category.php?cat=reg) - Datasets for regression experiments.[39m
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[38;2;255;187;0m[4mTime series[0m
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[48;2;30;30;40m[38;5;13m[3mDatasets for time-series problems.[0m
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[48;5;12m[38;5;11m⟡[49m[39m[38;5;12m [39m[38;5;14m[1mKEEL - time-series[0m[38;5;12m (http://sci2s.ugr.es/keel/category.php?cat=reg) - Datasets for time-series experiments.[39m
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[38;2;255;187;0m[4mFace Recognition[0m
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[48;2;30;30;40m[38;5;13m[3mFace Recognition datasets.[0m
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[48;5;12m[38;5;11m⟡[49m[39m[38;5;12m [39m[38;5;14m[1mJAFFE[0m[38;5;12m (http://kasrl.org/jaffe.html) - The Japanese Female Facial Expression (JAFFE) Database.[39m
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[48;5;12m[38;5;11m⟡[49m[39m[38;5;12m [39m[38;5;14m[1mCarnegie Mellon[0m[38;5;12m (http://www.cs.cmu.edu/afs/cs.cmu.edu/project/theo-8/faceimages/) - Datasets from theo-8 projects at Carnegie Mellon University.[39m
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[48;5;12m[38;5;11m⟡[49m[39m[38;5;12m [39m[38;5;14m[1mYale Face Database[0m[38;5;12m (http://vision.ucsd.edu/content/yale-face-database) - Datasets for facial expression (happy, sad, angry...) recognition.[39m
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[48;5;12m[38;5;11m⟡[49m[39m[38;5;12m [39m[38;5;14m[1mCohn-Kanade[0m[38;5;12m (http://www.pitt.edu/~emotion/ck-spread.htm) - The Cohn-Kanade AU-Coded Facial Expression Database is for research in automatic facial image analysis and synthesis and for perceptual studies.[39m
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[48;5;12m[38;5;11m⟡[49m[39m[38;5;12m [39m[38;5;14m[1mAR face Database[0m[38;5;12m (http://www2.ece.ohio-state.edu/~aleix/ARdatabase.html) - Different facial expressions, illumination conditions and occlusions.[39m
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[48;5;12m[38;5;11m⟡[49m[39m[38;5;12m [39m[38;5;14m[1mFace Detection CBCL[0m[38;5;12m (http://cbcl.mit.edu/software-datasets/FaceData2.html) - Face Detection Data from MIT.[39m
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[48;5;12m[38;5;11m⟡[49m[39m[38;5;12m [39m[38;5;14m[1mFace Recognition LFW[0m[38;5;12m (http://vis-www.cs.umass.edu/lfw/) - Face Recognition from UMASS.[39m
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[48;5;12m[38;5;11m⟡[49m[39m[38;5;12m [39m[38;5;14m[1mFace Recognition ORL[0m[38;5;12m (http://www.cl.cam.ac.uk/research/dtg/attarchive/facedatabase.html) - Face Recognition from AT&T.[39m
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[38;2;255;187;0m[4mImage Processing[0m
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[48;2;30;30;40m[38;5;13m[3mImage Processing.[0m
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[48;5;12m[38;5;11m⟡[49m[39m[38;5;12m [39m[38;5;14m[1mMicrosoft - Salient Object Database[0m[38;5;12m (http://research.microsoft.com/en-us/um/people/jiansun/SalientObject/salient_object.htm) - MSRA Salient Object Database.[39m
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[48;5;12m[38;5;11m⟡[49m[39m[38;5;12m [39m[38;5;14m[1mIVRG - Salient Object Database[0m[38;5;12m (http://ivrgwww.epfl.ch/supplementary_material/RK_CVPR09/) - Frequency-tuned Salient Region Detection.[39m
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[48;5;12m[38;5;11m⟡[49m[39m[38;5;12m [39m[38;5;14m[1mICDAR - Robust Reading[0m[38;5;12m (http://dag.cvc.uab.es/icdar2013competition/?com=introduction) - Robust Reading Competition.[39m
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[48;5;12m[38;5;11m⟡[49m[39m[38;5;12m [39m[38;5;14m[1mBrodatz - Texture Recognition[0m[38;5;12m (http://www.ux.uis.no/~tranden/brodatz.html) - Texture Recognition.[39m
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[48;5;12m[38;5;11m⟡[49m[39m[38;5;12m [39m[38;5;14m[1mVistex - Texture Recognition[0m[38;5;12m (http://vismod.media.mit.edu/vismod/imagery/VisionTexture/vistex.html) - Texture Recognition.[39m
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[48;5;12m[38;5;11m⟡[49m[39m[38;5;12m [39m[38;5;14m[1mCaltech - Object Categorization[0m[38;5;12m (http://www.vision.caltech.edu/Image_Datasets/Caltech101/) - Object Categorization from Caltech101.[39m
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[48;5;12m[38;5;11m⟡[49m[39m[38;5;12m [39m[38;5;14m[1mMarcel - Gesture Recognition[0m[38;5;12m (http://www.idiap.ch/resource/gestures/) - Gesture Recognition from Marcel.[39m
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[48;5;12m[38;5;11m⟡[49m[39m[38;5;12m [39m[38;5;14m[1mRPPDI - Gesture Recognition[0m[38;5;12m (http://rppdi.ecomp.poli.br/gesture/database/) - Gesture Recognition from RPPDI.[39m
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[38;2;255;187;0m[4mHandwriting Recognition[0m
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[48;2;30;30;40m[38;5;13m[3mHandwriting Recognition[0m
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[48;5;12m[38;5;11m⟡[49m[39m[38;5;12m [39m[38;5;14m[1mMNIST - Database of Handwritten Digits[0m[38;5;12m (http://yann.lecun.com/exdb/mnist/) - THE MNIST DATABASE of handwritten digits.[39m
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[38;2;255;187;0m[4mText Classification[0m
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[48;2;30;30;40m[38;5;13m[3mText Classification[0m
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[48;5;12m[38;5;11m⟡[49m[39m[38;5;12m [39m[38;5;14m[1m20 Newsgroups[0m[38;5;12m (http://qwone.com/~jason/20Newsgroups/) - The 20 newsgroups text dataset.[39m
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[48;5;12m[38;5;11m⟡[49m[39m[38;5;12m [39m[38;5;14m[1mReuters-21578[0m[38;5;12m (https://archive.ics.uci.edu/ml/datasets/Reuters-21578+Text+Categorization+Collection) - Reuters-21578 Text Categorization Collection Data Set[39m
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[38;5;12mdatasets Github: https://github.com/viisar/awesome-datasets[39m
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