Dataset Versions

v11

2023-01-28 1:30am

Generated on Jan 27, 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%
114Images
Valid Set 2%
3Images
Test Set 7%
9Images

Preprocessing

Auto-Orient: Applied
Isolate Objects: Applied
Resize: Stretch to 128x128
Auto-Adjust Contrast: Using Adaptive Equalization
Grayscale: Applied
Filter Null: Require at least 8% of images to contain annotations.

Augmentations

Outputs per training example: 3
Crop: 0% Minimum Zoom, 10% Maximum Zoom
Rotation: Between -23° and +23°
Hue: Between -26° and +26°
Saturation: Between -28% and +28%
Brightness: Between -31% and +31%
Blur: Up to 2px
Noise: Up to 4% of pixels
Cutout: 4 boxes with 28% size each
Bounding Box: Flip: Horizontal
Bounding Box: Rotation: Between -13° and +13°