Dataset Versions

v5

2023-04-03 5:41pm

Generated on Apr 3, 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 84%
108Images
Valid Set 7%
9Images
Test Set 9%
11Images

Preprocessing

Auto-Orient: Applied
Isolate Objects: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Tile: 1 rows x 1 columns

Augmentations

Outputs per training example: 3
Noise: Up to 21% of pixels
Bounding Box: Shear: ±31° Horizontal, ±25° Vertical
Bounding Box: Exposure: Between -23% and +23%