Dataset Versions

v4

2023-04-12 1:23pm

Generated on Apr 12, 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%
10557Images
Valid Set 4%
473Images
Test Set 9%
1052Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 256x256
Modify Classes: 20 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