Datasets:
license: mit
tags:
- neural_network
- CNN
- training_data
Collision
Intro
Collision is a simple proof of concept at https://github.com/osick/collision of a neural network detecting collsions of bodies (see the images above). In this setup it can reach an accuracy of about 98% which sounds good, but in fact is not good enough remembering self driving cars ... For training, validation and testing it uses abstract Blender generated images (size: 540 x 540 x 3) of cubes. Futher it can use an LeNet-5 like architecture (for more see convolutional neural networks on Wikipedia). The whole can be used as a template for other CNN projects. Feel free.
The data
The github repo https://github.com/osick/collision comes with this large data file set with thousand of generated images of two cubes in three different categories:
- collision: The two cubes toch each other but don't contain themself
- in: One cube contains the other
- out: The cubes are separated
All gratitude goes to my son, who generated all the images with blender and python scripting.
More Info
For more infos see https://github.com/osick/collision