Dataset Versions

v2

2023-09-27 2:16am

Generated on Sep 27, 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 93%
13728Images
Valid Set 4%
576Images
Test Set 4%
536Images

Preprocessing

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

Augmentations

Outputs per training example: 2
Flip: Horizontal
Rotation: Between -15° and +15°
Hue: Between -25° and +25°
Brightness: Between -25% and +25%
Blur: Up to 2.5px

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