Data augmentation is a very useful technique that can help to improve the translational invariance of convolutional neural networks (CNN). RandAugment is a stochastic vision data augmentation routine composed of strong augmentation transforms like color jitters, Gaussian blurs, saturations, etc. along with more traditional augmentation transforms such as random crops.
The model was trained on
CIFAR-10
, consisting of 60000 32x32 color images in 10 classes, with 6000 images per class. There are 50000 training images and 10000 test images.
Runs of keras-io randaugment on huggingface.co
8
Total runs
0
24-hour runs
1
3-day runs
2
7-day runs
3
30-day runs
More Information About randaugment huggingface.co Model
randaugment huggingface.co is an AI model on huggingface.co that provides randaugment's model effect (), which can be used instantly with this keras-io randaugment model. huggingface.co supports a free trial of the randaugment model, and also provides paid use of the randaugment. Support call randaugment model through api, including Node.js, Python, http.
randaugment huggingface.co is an online trial and call api platform, which integrates randaugment's modeling effects, including api services, and provides a free online trial of randaugment, you can try randaugment online for free by clicking the link below.
keras-io randaugment online free url in huggingface.co:
randaugment is an open source model from GitHub that offers a free installation service, and any user can find randaugment on GitHub to install. At the same time, huggingface.co provides the effect of randaugment install, users can directly use randaugment installed effect in huggingface.co for debugging and trial. It also supports api for free installation.