A small dataset consisting of short video clips, each containing one of six shapes (cone, cube, cylinder, monkey, sphere, torus) on a black background.
The dataset was used during my experiments with Hierarchical Temporal Memory involving video classification (Wielgosz and Pietroń 2017).
The clips were generated using Blender. Available clip lengths are 4 frames (10k clips), 32 frames (1k clips), and 150 frames (1k clips). Additionally, the 32-frames-long clips are available in five resolutions. Accompanying video clips is an image dataset (10k images).
The dataset is available under Creative Commons Attribution 4.0 International License.
- Wielgosz, Maciej, and Marcin Pietroń. 2017. “Using Spatial Pooler of Hierarchical Temporal Memory to Classify Noisy Videos with Predefined Complexity.” Neurocomputing, May, 84–97. https://doi.org/10.1016/j.neucom.2017.02.046.