Dataset Versions

v16

2023-11-09 3:42pm

Generated on Nov 9, 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%
53700Images
Valid Set 4%
1997Images
Test Set 2%
989Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 10
Flip: Horizontal
Crop: 0% Minimum Zoom, 13% Maximum Zoom
Grayscale: Apply to 100% of images
Hue: Between -69° and +69°
Saturation: Between -55% and +55%
Exposure: Between -25% and +25%
Blur: Up to 1.25px
Noise: Up to 4% of pixels
Bounding Box: Brightness: Between -25% and +25%
Bounding Box: Blur: Up to 2.5px
Bounding Box: Noise: Up to 2% of pixels