Dataset Versions

v1

2023-04-28 8:48pm

Generated on Apr 28, 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 100%
12522Images
Valid Set 0%
42Images
Test Set 0%
1Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise
Crop: 0% Minimum Zoom, 22% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 25% of images
Hue: Between -18° and +18°
Saturation: Between -31% and +31%
Brightness: Between -24% and +24%
Exposure: Between -23% and +23%
Blur: Up to 0.25px
Noise: Up to 3% of pixels
Cutout: 7 boxes with 3% size each

Similar Projects

See More