VMP
FACE RECOGNITION DATABASES
Labeled Faces in the Wild
5 Million Faces — Top 15 Free Image Datasets for Facial Recognition
CelebFaces Attributes Dataset (CelebA)
VGGFace2 is a large-scale face recognition dataset
Kaggle UTKFace dataset is a large-scale face dataset
10 Face Datasets To Start Facial Recognition Projects
Does sombeody know a large database of human faces which one can use for research purposes?
60 Facial Recognition Databases
Datasets
Datasets
These datasets can be used for benchmarking deep learning algorithms:
Music Datasets
- Piano-midi.de: classical piano pieces (http://www.piano-midi.de/)
- Nottingham : over 1000 folk tunes (http://abc.sourceforge.net/NMD/)
- MuseData: electronic library of classical music scores (http://musedata.stanford.edu/)
- JSB Chorales: set of four-part harmonized chorales (http://www.jsbchorales.net/index.shtml)
- FMA: A Dataset For Music Analysis (https://github.com/mdeff/fma)
Natural Images
- MNIST: handwritten digits (http://yann.lecun.com/exdb/mnist/)
- NIST: similar to MNIST, but larger
- Perturbed NIST: a dataset developed in Yoshua’s class (NIST with tons of deformations)
- CIFAR10 / CIFAR100: 32×32 natural image dataset with 10/100 categories ( http://www.cs.utoronto.ca/~kriz/cifar.html)
- Caltech 101: pictures of objects belonging to 101 categories (http://www.vision.caltech.edu/Image_Datasets/Caltech101/)
- Caltech 256: pictures of objects belonging to 256 categories (http://www.vision.caltech.edu/Image_Datasets/Caltech256/)
- Caltech Silhouettes: 28×28 binary images contains silhouettes of the Caltech 101 dataset
- STL-10 dataset is an image recognition dataset for developing unsupervised feature learning, deep learning, self-taught learning algorithms. It is inspired by the CIFAR-10 dataset but with some modifications. http://www.stanford.edu/~acoates//stl10/
- The Street View House Numbers (SVHN) Dataset – http://ufldl.stanford.edu/housenumbers/
- NORB: binocular images of toy figurines under various illumination and pose (http://www.cs.nyu.edu/~ylclab/data/norb-v1.0/)
- Imagenet: image database organized according to the WordNethierarchy (http://www.image-net.org/)
- Pascal VOC: various object recognition challenges (http://pascallin.ecs.soton.ac.uk/challenges/VOC/)
- Labelme: A large dataset of annotated images, http://labelme.csail.mit.edu/Release3.0/browserTools/php/dataset.php
- COIL 20: different objects imaged at every angle in a 360 rotation(http://www.cs.columbia.edu/CAVE/software/softlib/coil-20.php)
- COIL100: different objects imaged at every angle in a 360 rotation (http://www1.cs.columbia.edu/CAVE/software/softlib/coil-100.php)
