Dataset Versions

v3

2023-07-01 6:59am

Generated on Jul 1, 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 87%
1953Images
Valid Set 8%
186Images
Test Set 4%
96Images

Preprocessing

Auto-Orient: Applied
Modify Classes: 0 remapped, 0 dropped
Filter Null: Do not filter any null images.

Augmentations

Outputs per training example: 3
Hue: Between -25° and +25°
Saturation: Between -50% and +50%
Noise: Up to 6% of pixels
Mosaic: Applied
Bounding Box: Crop: 0% Minimum Zoom, 20% Maximum Zoom
Bounding Box: Rotation: Between -33° and +33°
Bounding Box: Shear: ±45° Horizontal, ±45° Vertical
Bounding Box: Brightness: Between -55% and +55%
Bounding Box: Blur: Up to 12.5px
Bounding Box: Noise: Up to 5% of pixels

Similar Projects

See More