Dataset Versions

v4

2024-07-10 5:45am

Generated on Jul 10, 2024

Popular Download Formats

Pascal VOC XML
Common XML annotation format for local data munging (pioneered by ImageNet).
PaliGemma
PaliGemma JSONL format used for fine-tuning PaliGemma, Google's open multimodal vision model.
CreateML JSON
CreateML JSON format is used with Apple's CreateML and Turi Create tools.
Other Formats
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Dataset Split

Train Set 88%
5880Images
Valid Set 8%
564Images
Test Set 4%
268Images

Preprocessing

Auto-Orient: Applied
Isolate Objects: Applied
Resize: Stretch to 640x640
Grayscale: Applied
Tile: 2 rows x 2 columns

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Hue: Between -130° and +130°
Brightness: Between -34% and +34%
Blur: Up to 6.9px
Noise: Up to 0.1% of pixels

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