Dataset Versions

v2

2023-02-18 12:06pm

Generated on Feb 18, 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
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Dataset Split

Train Set 80%
20652Images
Valid Set 10%
2632Images
Test Set 10%
2588Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Tile: 2 rows x 2 columns
Modify Classes: 8 remapped, 1 dropped

Augmentations

Outputs per training example: 1
Flip: Horizontal
Crop: 0% Minimum Zoom, 24% Maximum Zoom
Rotation: Between -16° and +16°
Shear: ±15° Horizontal, ±15° Vertical
Saturation: Between -20% and +20%
Brightness: Between -25% and +25%
Exposure: Between -20% and +20%
Noise: Up to 5% of pixels