Dataset Versions

v2

2023-01-05 4:40pm

Generated on Jan 5, 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 86%
81Images
Valid Set 7%
7Images
Test Set 6%
6Images

Preprocessing

Resize: Stretch to 940x1260

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Grayscale: Apply to 25% of images
Hue: Between -32° and +32°
Saturation: Between -76% and +76%
Brightness: Between -27% and +27%
Noise: Up to 4% of pixels