Dataset Versions

v5

train_version4_size640

Generated on Nov 10, 2021

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 75%
7389Images
Valid Set 10%
990Images
Test Set 15%
1480Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Modify Classes: 0 remapped, 4 dropped
Filter Null: Do not filter any null images.

Augmentations

Outputs per training example: 3
Flip: Horizontal
Rotation: Between -20° and +20°
Saturation: Between -60% and +60%
Bounding Box: 90° Rotate: Clockwise, Counter-Clockwise
Bounding Box: Rotation: Between -20° and +20°