Dataset Versions

v10

2022-06-24 12:49am

Generated on Jun 23, 2022

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 92%
966Images
Valid Set 6%
65Images
Test Set 2%
20Images

Preprocessing

Auto-Orient: Applied

Augmentations

Outputs per training example: 3
Brightness: Between -10% and +10%
Exposure: Between -10% and +10%
Blur: Up to 0.75px
Noise: Up to 2% of pixels
Bounding Box: Shear: ±4° Horizontal, ±4° Vertical
Bounding Box: Exposure: Between -10% and +10%