Dataset Versions

v10

2024-09-30 10:35pm

Generated on Sep 30, 2024

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%
6538Images
Valid Set 4%
278Images
Test Set 2%
144Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 416x416
Grayscale: Applied

Augmentations

Outputs per training example: 7
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 4% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Brightness: Between -23% and +23%
Exposure: Between -15% and +15%
Blur: Up to 1.4px
Noise: Up to 1.72% of pixels