Dataset Versions

v8

data_augumentation

Generated on Sep 23, 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 89%
1020Images
Valid Set %
0Images
Test Set 11%
128Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 2
Flip: Horizontal
Shear: ±10° Horizontal, ±11° Vertical
Hue: Between -8° and +8°
Saturation: Between -27% and +27%