Dataset Versions

v5

2023-11-11 2:17pm

Generated on Nov 11, 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 67%
11961Images
Valid Set 17%
2990Images
Test Set 17%
2990Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Contrast Stretching
Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 3
Flip: Horizontal
Hue: Between -30° and +30°
Saturation: Between -30% and +30%
Brightness: Between -25% and +25%
Exposure: Between -5% and +5%
Noise: Up to 1% of pixels