Dataset Versions

v4

2024-04-05 3:04pm

Generated on Apr 5, 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%
19800Images
Valid Set 9%
2088Images
Test Set 3%
704Images

Preprocessing

Auto-Orient: Applied
Resize: Fit within 640x640
Grayscale: Applied
Tile: 2 rows x 2 columns

Augmentations

Outputs per training example: 3
Rotation: Between -11° and +11°
Saturation: Between -27% and +27%
Brightness: Between -17% and +17%
Noise: Up to 1.99% of pixels

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