Dataset Versions

v6

2024-06-14 6:48pm

Generated on Jun 14, 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 92%
537Images
Valid Set 4%
22Images
Test Set 4%
22Images

Preprocessing

Auto-Orient: Applied
Resize: Fill (with center crop) in 640x480
Grayscale: Applied
Modify Classes: 1 remapped, 0 dropped
Filter Null: Require at least 50% of images to contain annotations.

Augmentations

Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Shear: ±15° Horizontal, ±15° Vertical
Blur: Up to 1.1px
Noise: Up to 0.69% of pixels