Dataset Versions

v4

2024-05-13 5:22pm

Generated on May 13, 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 85%
1665Images
Valid Set 11%
212Images
Test Set 4%
84Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 900x900
Filter Null: Require at least 80% of images to contain annotations.

Augmentations

Outputs per training example: 3
Crop: 0% Minimum Zoom, 40% Maximum Zoom
Shear: ±5° Horizontal, ±25° Vertical
Blur: Up to 1.5px
Noise: Up to 3.51% of pixels