synthetic datasets for benchmarking AI and machine learning
Project description
# Synthetic Datasets
* NoiseCircle
## NoiseCircle
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
Example use::
```
from synthetic_datasets import NoiseCircle
nc = NoiseCircle()
for image in nc:
// Use image
```
## Licence
MIT
## More info
- https://github.com/synthetic-datasets/synthetic-datasets
- https://www.meetup.com/Toronto-AI/
- http://torontoai.org/
- A Toronto AI initiative
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