Dataset Versions

v6

2023-05-12 3:20pm

Generated on May 12, 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 75%
81Images
Valid Set 15%
16Images
Test Set 10%
11Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Modify Classes: 1 remapped, 0 dropped

Augmentations

Outputs per training example: 3
Flip: Horizontal
Crop: 11% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -13° and +13°
Shear: ±8° Horizontal, ±4° Vertical
Grayscale: Apply to 17% of images
Hue: Between -12° and +12°
Saturation: Between -21% and +21%
Brightness: Between -28% and +28%
Exposure: Between -10% and +10%
Blur: Up to 0px
Noise: Up to 6% of pixels