Dataset Versions

v18

2024-10-12 4:23pm

Generated on Oct 12, 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.
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Dataset Split

Train Set 88%
3125Images
Valid Set 8%
288Images
Test Set 4%
139Images

Preprocessing

Auto-Orient: Applied
Resize: Fit within 640x640
Filter Null: Require at least 62% of images to contain annotations.

Augmentations

Outputs per training example: 3
Rotation: Between -11° and +11°
Shear: ±10° Horizontal, ±10° Vertical
Hue: Between -10° and +10°
Brightness: Between -10% and +10%
Exposure: Between -10% and +10%

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