Dataset Versions

v1

2023-07-11 3:34pm

Generated on Jul 11, 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.
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Dataset Split

Train Set 95%
2148Images
Valid Set 2%
40Images
Test Set 3%
72Images

Preprocessing

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

Augmentations

Outputs per training example: 3
Flip: Horizontal
Crop: 0% Minimum Zoom, 21% Maximum Zoom
Hue: Between -57° and +57°
Blur: Up to 2.5px
Noise: Up to 5% of pixels
Bounding Box: Brightness: Between -25% and +25%

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