Dataset Versions

v8

2024-04-14 12:23am

Generated on Apr 14, 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 88%
9240Images
Valid Set 8%
880Images
Test Set 4%
439Images

Preprocessing

Auto-Orient: Applied
Resize: Fill (with center crop) in 900x700

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Crop: 0% Minimum Zoom, 30% Maximum Zoom
Grayscale: Apply to 20% of images
Exposure: Between -14% and +14%
Blur: Up to 1.6px