Dataset Versions

v5

2024-12-16 4:37pm

Generated on Dec 16, 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
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Dataset Split

Train Set 80%
20760Images
Valid Set 11%
2860Images
Test Set 9%
2240Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Tile: 2 rows x 2 columns

Augmentations

Outputs per training example: 2
Flip: Horizontal
Brightness: Between -20% and +20%
Exposure: Between -14% and +14%
Blur: Up to 3.6px
Noise: Up to 0.77% of pixels