Dataset Versions

v3

2023-07-19 4:12pm

Generated on Jul 19, 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.
Other Formats
Choose another format.

Dataset Split

Train Set 87%
264Images
Valid Set 9%
28Images
Test Set 4%
12Images

Preprocessing

Auto-Orient: Applied
Static Crop: 34-75% Horizontal Region, 42-75% Vertical Region
Resize: Stretch to 640x640
Tile: 2 rows x 2 columns

Augmentations

Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise
Crop: 0% Minimum Zoom, 60% Maximum Zoom
Grayscale: Apply to 25% of images
Hue: Between -41° and +41°
Bounding Box: Brightness: Between -25% and +25%