Dataset Versions

v15

2023-06-09 9:53am

Generated on Jun 9, 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 90%
819Images
Valid Set 10%
88Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied
Tile: 2 rows x 2 columns
Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 3
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -10° and +10°
Shear: ±15° Horizontal, ±15° Vertical
Hue: Between -25° and +25°
Saturation: Between -25% and +25%
Brightness: Between -10% and +10%
Noise: Up to 1% of pixels
Mosaic: Applied
Bounding Box: Flip: Horizontal
Bounding Box: Exposure: Between -10% and +10%