Dataset Versions

v2

2024-12-04 8:07pm

Generated on Dec 4, 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 93%
8973Images
Valid Set 3%
337Images
Test Set 4%
341Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 900x700

Augmentations

Outputs per training example: 3
Flip: Horizontal
Rotation: Between -15° and +15°
Saturation: Between -32% and +32%
Brightness: Between -22% and +22%
Blur: Up to 1.4px
Noise: Up to 1.96% of pixels