Dataset Versions

v2

2023-09-10 9:42pm

Generated on Sep 10, 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 96%
12864Images
Valid Set 4%
500Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied
Isolate Objects: Applied
Resize: Stretch to 224x224
Auto-Adjust Contrast: Using Adaptive Equalization
Grayscale: Applied
Tile: 2 rows x 2 columns

Augmentations

Outputs per training example: 3
Flip: Horizontal
Hue: Between -25° and +25°
Brightness: Between -20% and +20%
Exposure: Between -25% and +25%
Blur: Up to 1.5px
Noise: Up to 6% of pixels
Bounding Box: 90° Rotate: Clockwise, Counter-Clockwise
Bounding Box: Brightness: Between -25% and +25%

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