Dataset Versions

v7

2022-07-29 4:22pm

Generated on Jul 29, 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 99%
1215Images
Valid Set 1%
13Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied
Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 3
Rotation: Between -12° and +12°
Shear: ±8° Horizontal, ±22° Vertical
Hue: Between -116° and +116°
Saturation: Between -30% and +30%
Blur: Up to 13px
Noise: Up to 4% of pixels

Similar Projects

See More