Dataset Versions

v2

2023-07-21 10:47pm

Generated on Jul 21, 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%
8756Images
Valid Set 8%
825Images
Test Set 4%
425Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 600x450
Auto-Adjust Contrast: Using Adaptive Equalization
Tile: 2 rows x 2 columns
Filter Null: Require at least 95% of images to contain annotations.

Augmentations

Outputs per training example: 3
Shear: ±15° Horizontal, ±15° Vertical
Blur: Up to 2.5px