Dataset Versions

v3

2022-08-04 12:09am

Generated on Aug 3, 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 94%
66Images
Valid Set 6%
4Images
Test Set %
0Images

Preprocessing

Resize: Stretch to 320x320

Augmentations

Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±30° Horizontal, ±20° Vertical
Grayscale: Apply to 40% of images
Hue: Between -50° and +50°
Saturation: Between -40% and +40%
Blur: Up to 2px
Noise: Up to 5% of pixels
Cutout: 3 boxes with 10% size each