Dataset Versions

v47

2024-01-22 3:15pm

Generated on Jan 22, 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 91%
747Images
Valid Set 5%
44Images
Test Set 3%
26Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 416x416
Auto-Adjust Contrast: Using Histogram Equalization

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±9° Horizontal, ±10° Vertical
Grayscale: Apply to 20% of images
Hue: Between -16° and +16°
Saturation: Between -16% and +16%
Brightness: Between -23% and +23%
Exposure: Between -13% and +13%
Blur: Up to 2.1px
Noise: Up to 1.96% of pixels
Mosaic: Applied

Similar Projects

See More