Dataset Versions

v23

2024-12-22 1:56pm

Generated on Dec 22, 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 82%
6152Images
Valid Set 12%
880Images
Test Set 6%
440Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 1920x1080
Filter Null: Require at least 15% of images to contain annotations.

Augmentations

Outputs per training example: 2
Flip: Horizontal
Noise: Up to 0.86% of pixels
Bounding Box: Blur: Up to 4px