Dataset Versions

v1

2023-07-11 8:07pm

Generated on Jul 11, 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 88%
1905Images
Valid Set 8%
177Images
Test Set 4%
92Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Rotation: Between -25° and +25°
Shear: ±25° Horizontal, ±15° Vertical
Hue: Between -41° and +41°
Brightness: Between -25% and +25%
Blur: Up to 2.5px
Noise: Up to 5% of pixels