Dataset Versions

v30

2023-08-05 1:39am

Generated on Aug 4, 2023

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 87%
2748Images
Valid Set 6%
192Images
Test Set 7%
208Images

Preprocessing

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

Augmentations

Outputs per training example: 3
Hue: Between -50° and +50°
Saturation: Between -30% and +30%
Exposure: Between -15% and +15%
Noise: Up to 2% of pixels

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