Dataset Versions

v59

2024-06-09 9:49pm

Generated on Jun 9, 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 97%
1536Images
Valid Set 2%
30Images
Test Set 1%
10Images

Preprocessing

Auto-Orient: Applied
Resize: Fit (black edges) in 975x600
Filter Null: Require at least 95% of images to contain annotations.

Augmentations

Outputs per training example: 3
Flip: Horizontal
Grayscale: Apply to 20% of images
Hue: Between -25° and +25°
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Exposure: Between -20% and +20%
Blur: Up to 1px
Noise: Up to 0.5% of pixels