Dataset Versions

v3

2024-02-05 10:30pm

Generated on Feb 5, 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
Choose another format.

Dataset Split

Train Set 88%
6732Images
Valid Set 8%
596Images
Test Set 4%
288Images

Preprocessing

Auto-Orient: Applied
Static Crop: 23-73% Horizontal Region, 8-68% Vertical Region
Resize: Stretch to 512x512
Grayscale: Applied
Tile: 2 rows x 1 columns
Modify Classes: 2 remapped, 0 dropped

Augmentations

Outputs per training example: 3
Hue: Between -24° and +24°
Bounding Box: Flip: Horizontal, Vertical
Bounding Box: 90° Rotate: Clockwise, Upside Down
Bounding Box: Brightness: Between -10% and +10%