Dataset Versions

v8

dataset_v5

Generated on Nov 4, 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 88%
4332Images
Valid Set 8%
400Images
Test Set 4%
204Images

Preprocessing

Auto-Orient: Applied
Static Crop: 10-90% Horizontal Region, 10-90% Vertical Region
Resize: Stretch to 640x640
Tile: 2 rows x 2 columns

Augmentations

Outputs per training example: 3
Flip: Horizontal
Exposure: Between -25% and +25%
Noise: Up to 5% of pixels
Bounding Box: 90° Rotate: Clockwise, Counter-Clockwise, Upside Down