Dataset Versions

v3

2022-10-20 7:03pm

Generated on Oct 20, 2022

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%
552Images
Valid Set 1%
8Images
Test Set 1%
8Images

Preprocessing

Auto-Orient: Applied
Resize: Fit within 416x416

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Grayscale: Apply to 20% of images
Hue: Between -25° and +25°
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Exposure: Between -5% and +5%
Blur: Up to 0.5px
Noise: Up to 1% of pixels