synthetic datasets for benchmarking AI and machine learning
# Synthetic Datasets
A generator of square images, by default 64x64, with static noise and a circle
with noisy pixels in the image at a random location and with a random size.
Each result from the generator is a square numpy matrix of type float32
from synthetic_datasets import NoiseCircle
nc = NoiseCircle()
for image in nc:
// Use image
## More info
- A Toronto AI initiative
Release history Release notifications | RSS feed
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Hashes for synthetic_datasets-0.1.0-py3-none-any.whl