Konpat Preechakul commited on
🎬 Upload SFR 4-frame 300k: Color Switch (infinite), Size Fixed (20px), Speed Random - compact temporal format, large-scale dataset
Browse files- 4 frames per video, 256x256 resolution
- 310,000 total videos
- HDF5 format with MP4 encoding
- SFR (Switch Color, Fixed Size, Random Speed)
- Generated with unified circle dataset generator
Dataset for video representation learning research.
- README.md +56 -0
- sample_00_sequence.jpg +3 -0
- sample_01_sequence.jpg +3 -0
- sample_02_sequence.jpg +3 -0
- test.h5 +3 -0
- train.h5 +3 -0
README.md
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# circle_behavior_SFR_4frames_300k
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SFR 4-frame 300k: Color Switch (infinite), Size Fixed (20px), Speed Random - color switching learning
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## Statistics
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- Training videos: 300,000
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- Test videos: 10,000 (shared with 30k dataset)
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- Total videos: 310,000
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- Frames per video: 4 (2 first half + 2 second half)
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- Resolution: 256x256
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- Storage format: HDF5 with MP4-encoded videos
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## Compact Frame Structure
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- **Frame 1-2**: First half of motion sequence
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- **Frame 3-4**: Second half of motion sequence
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- **Switch Point**: Between frames 2 and 3
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## Behavior Configuration (SFR Pattern)
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- **S (Switch) Color**: Random/infinite variety per video - primary learning variable
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- **F (Fixed) Size**: 20px radius - consistent across all videos
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- **R (Random) Speed**: Random velocity per video - secondary variation
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## Sample Visualizations
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### Video Sequence Examples
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Here are sample 4-frame sequences showing the SFR behavior pattern (horizontal temporal progression):
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**Sample 1 - Color Switch Pattern:**
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**Sample 2 - Different Color Transitions:**
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**Sample 3 - Varied Movement Pattern:**
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### Key Visual Features
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- **Color Switching**: Colors change unpredictably between frames
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- **Fixed Size**: All circles maintain consistent 20-pixel radius
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- **Random Speed**: Movement velocity varies between videos
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- **Large-Scale**: 300k samples provide comprehensive coverage of color patterns
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## Research Value
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This dataset enables color switching pattern learning in compact 4-frame format, focusing on visual attribute adaptation while controlling for size and allowing speed variation.
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## Large-Scale Benefits
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- **Enhanced Statistical Power**: 300k samples for robust color switching analysis
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- **Scale Comparison**: Direct comparison with 30k SFR using identical test set
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- **Consistent Evaluation**: Shared test set enables precise scale effect measurement
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Generated with bounds-safe CircleVideoGenerator.
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sample_00_sequence.jpg
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Git LFS Details
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sample_01_sequence.jpg
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Git LFS Details
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sample_02_sequence.jpg
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Git LFS Details
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test.h5
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version https://git-lfs.github.com/spec/v1
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oid sha256:99a7c3a365f04bca605e52da61d25888f882a0ad59b2dd8bb89607ca3ccfb933
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size 64580560
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train.h5
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version https://git-lfs.github.com/spec/v1
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oid sha256:bb73def79b9b004facb3b48f3a5da7dcfd4cfb04ea3c87a038543b55ad7e8b5d
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size 1937102943
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