Dataset Versions

v2

2023-05-21 3:37pm

Generated on May 21, 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 88%
1500Images
Valid Set 8%
136Images
Test Set 4%
76Images

Preprocessing

Auto-Orient: Applied
Isolate Objects: Applied
Resize: Stretch to 1280x640
Auto-Adjust Contrast: Using Adaptive Equalization
Grayscale: Applied
Tile: 2 rows x 2 columns

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Grayscale: Apply to 25% of images
Hue: Between -25° and +25°
Saturation: Between -25% and +25%
Bounding Box: Flip: Horizontal, Vertical

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