Dataset Versions

v3

2023-08-01 6:12pm

Generated on Aug 1, 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 95%
1602Images
Valid Set 4%
64Images
Test Set 1%
20Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 450x500

Augmentations

Outputs per training example: 3
Rotation: Between -9° and +9°
Saturation: Between -25% and +25%
Brightness: Between -25% and +25%
Noise: Up to 2% of pixels
Bounding Box: Rotation: Between -5° and +5°
Bounding Box: Exposure: Between -6% and +6%