Dataset Versions

v2

2024-01-03 4:45pm

Generated on Jan 3, 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 90%
5846Images
Valid Set 5%
298Images
Test Set 5%
332Images

Preprocessing

Auto-Orient: Applied
Tile: 5 rows x 5 columns
Filter Null: Require at least 75% of images to contain annotations.

Augmentations

Outputs per training example: 3
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -5° and +5°