Dataset Versions

v1

2024-04-29 8:37pm

Generated on Apr 29, 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%
1680Images
Valid Set 8%
152Images
Test Set 5%
88Images

Preprocessing

Auto-Orient: Applied
Resize: Fit within 640x640
Tile: 1 rows x 1 columns

Augmentations

Outputs per training example: 3
Flip: Horizontal
Hue: Between -15° and +15°
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%
Bounding Box: Flip: Horizontal, Vertical
Bounding Box: Brightness: Between -5% and +5%
Bounding Box: Exposure: Between -5% and +5%