Datasets:
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README.md
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### Dataset Summary
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A synthetic video dataset for object detection and tracking, featuring moving MNIST digits with:
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- 1-10 digits per sequence
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- Video understanding
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- Spatiotemporal modeling
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##
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### Data Instances
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```
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### Data Format
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- Total dataset size: approximately {PLACEHOLDER} GB
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- Frame rate: 10 fps
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## Data Splits
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| Split |
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|--------|----------|
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| Train |
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| Test |
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## Dataset Creation
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## Dataset Statistics
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TODO:
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| Statistic | Value |
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| Mean
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## Using the Dataset
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- No complex occlusion handling or object interactions
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- No lighting variations or perspective transformations
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## Citation
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```bibtex
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@misc{ploter2025detectionmovingmnist,
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author = {Max Ploter},
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title = {Detection Moving MNIST (Easy)},
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year = {2025},
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publisher = {Hugging Face},
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journal = {Hugging Face Datasets},
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howpublished = {\url{https://huggingface.co/datasets/Max-Ploter/detection-moving-mnist-easy}}
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}
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```
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## Related Datasets
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- Original Moving MNIST: http://www.cs.toronto.edu/~nitish/unsupervised_video/
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### Description
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**Repository:** https://github.com/maxploter/detection-moving-mnist
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A synthetic video dataset for object detection and tracking, featuring moving MNIST digits with:
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- 1-10 digits per sequence
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- Video understanding
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- Spatiotemporal modeling
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## Structure
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### Data Instances
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```
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### Data Format
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- Arrow
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- Total dataset size: approximately {PLACEHOLDER} GB
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- Frame rate: 10 fps
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## Data Splits
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| Split | Size |
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|--------|----------|
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| Train | 60,000 |
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| Test | 10,000 |
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## Dataset Creation
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## Dataset Statistics
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| Statistic | Value |
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| Mean (Train) | 0.023958550628466375 |
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| Standard Deviation (Train) | 0.14140212075592035 |
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| Mean (Test) | 0.024210869560423308 |
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| Standard Deviation (Test) | 0.1423791946229605 |
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You can check those numbers in the file: [dataset_stats](./dataset_stats.json)
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## Using the Dataset
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- No complex occlusion handling or object interactions
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- No lighting variations or perspective transformations
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## Related Datasets
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- Original Moving MNIST: http://www.cs.toronto.edu/~nitish/unsupervised_video/
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