Dataset Versions

v1

2024-05-29 5:41pm

Generated on May 29, 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 89%
12543Images
Valid Set 7%
1001Images
Test Set 4%
549Images

Preprocessing

Auto-Orient: Applied
Resize: Fit (black edges) in 1024x1024
Modify Classes: 15 remapped, 0 dropped

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: ±4° Horizontal, ±4° Vertical
Hue: Between -20° and +20°
Saturation: Between -4% and +4%
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%
Blur: Up to 0.5px
Noise: Up to 1.05% of pixels

Similar Projects

See More