Table 5.
Benchmark datasets
| Dataset | Num. of classes | Applications | Link to dataset |
|---|---|---|---|
| ImageNet | 1000 | Image classification, object localization, object detection, etc. | http://www.image-net.org/ |
| CIFAR10/100 | 10/100 | Image classification | https://www.cs.toronto.edu/~kriz/cifar.html |
| MNIST | 10 | Classification of handwritten digits | http://yann.lecun.com/exdb/mnist/ |
| Pascal VOC | 20 | Image classification, segmentation, object detection | http://host.robots.ox.ac.uk/pascal/VOC/voc2012/ |
| Microsoft COCO | 80 | Object detection, semantic segmentation | https://cocodataset.org/#home |
| YFCC100M | 8M | Video and image understanding | http://projects.dfki.unikl.de/yfcc100m/ |
| YouTube-8M | 4716 | Video classification | https://research.google.com/youtube8m/ |
| UCF-101 | 101 | Human action detection | https://www.crcv.ucf.edu/data/UCF101.php |
| Kinetics | 400 | Human action detection | https://deepmind.com/research/open-source/kinetics |
| Google Open Images | 350 | Image classification, segmentation, object detection | https://storage.googleapis.com/openimages/web/index.html |
| CalTech101 | 101 | Classification | http://www.vision.caltech.edu/Image_Datasets/Caltech101/ |
| Labeled Faces in the Wild | – | Face recognition | http://vis-www.cs.umass.edu/lfw/ |
| MIT-67 scene dataset | 67 | Indoor scene recognition | http://web.mit.edu/torralba/www/indoor.htm |