Dataset Versions

v10

2024-02-18 11:50am

Generated on Feb 18, 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 86%
990Images
Valid Set 9%
108Images
Test Set 5%
59Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 512x512
Filter Null: Do not filter any null images.

Augmentations

Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Crop: 0% Minimum Zoom, 23% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Hue: Between -16° and +16°
Saturation: Between -11% and +11%
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%
Blur: Up to 1.4px
Noise: Up to 0.46% of pixels
Bounding Box: 90° Rotate: Clockwise, Counter-Clockwise