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  | ![annotated_video_0](./annotated_video_0.gif) | ![annotated_video_1](./annotated_video_1.gif) |
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- ## Dataset Description
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- - **Repository:** https://github.com/maxploter/detection-moving-mnist
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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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- ## Dataset Structure
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  ### Data Instances
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  ```
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  ### Data Format
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- - Videos stored as MP4
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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 | Videos |
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  |--------|----------|
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- | Train | 120,000 |
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- | Test | 20,000 |
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  ## Dataset Creation
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  ## Dataset Statistics
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- TODO:
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-
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  | Statistic | Value |
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  |------------------------------|-------------------|
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- | Mean Intensity | {PLACEHOLDER} |
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- | Intensity Standard Deviation | {PLACEHOLDER} |
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- | Class Distribution | {PLACEHOLDER} |
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- | Average Digits Per Frame | {PLACEHOLDER} |
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- | Occlusion Rate | {PLACEHOLDER}% |
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- | Average Trajectory Length | {PLACEHOLDER} px |
 
 
 
 
 
 
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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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-
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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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-
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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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  | ![annotated_video_0](./annotated_video_0.gif) | ![annotated_video_1](./annotated_video_1.gif) |
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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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  |------------------------------|-------------------|
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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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+
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+ You can check those numbers in the file: [dataset_stats](./dataset_stats.json)
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+ ![train_digit_classes](./train_digit_classes.png)
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+ ![test_digit_classes](./test_digit_classes.png)
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+
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+ ![train_digits_per_frame](./train_digits_per_frame.png)
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+ ![test_digits_per_frame](./test_digits_per_frame.png)
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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/