Image Classification with CIFAR-10 Dataset using python
Budget: $2 – $8 AUD
berief:
The CIFAR-10 dataset is a collection of images of 10 different classes like cars, birds, dogs, horses, ships, trucks, etc. The idea of the project is to build an image classification model that will be able to identify what class the input image belongs to.
The CIFAR-10 dataset is a collection of images of 10 different classes like cars, birds, dogs, horses, ships, trucks, etc. The idea of the project is to build an image classification model that will be able to identify what class the input image belongs to.