Dataset Versions

v2

2023-09-13 2:49pm

Generated on Sep 13, 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.
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Dataset Split

Train Set 86%
1788Images
Valid Set 10%
204Images
Test Set 4%
84Images

Preprocessing

Auto-Orient: Applied
Isolate Objects: Applied
Static Crop: 25-77% Horizontal Region, 5-95% Vertical Region
Resize: Stretch to 640x640
Tile: 2 rows x 2 columns

Augmentations

Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Rotation: Between -15° and +15°
Hue: Between -25° and +25°
Brightness: Between -9% and +9%
Blur: Up to 2.5px
Bounding Box: Flip: Horizontal

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