Dataset Versions

v2

2023-02-03 2:55pm

Generated on Feb 3, 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%
4083Images
Valid Set 4%
196Images
Test Set 8%
392Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 256x256
Modify Classes: 13 remapped, 2 dropped
Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Rotation: Between -21° and +21°
Shear: ±15° Horizontal, ±15° Vertical
Brightness: Between -20% and +20%
Exposure: Between -25% and +25%
Blur: Up to 1.75px
Noise: Up to 7% of pixels