Dataset Versions

v5

2023-06-19 6:46pm

Generated on Jun 20, 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 73%
786Images
Valid Set 17%
189Images
Test Set 10%
108Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 2
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Rotation: Between -18° and +18°
Grayscale: Apply to 50% of images
Hue: Between -41° and +41°
Saturation: Between -35% and +35%
Brightness: Between -22% and +22%
Blur: Up to 2.25px
Bounding Box: Noise: Up to 5% of pixels