Dataset Versions

v1

2023-08-20 10:37pm

Generated on Aug 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%
2016Images
Valid Set 8%
192Images
Test Set 4%
96Images

Preprocessing

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

Augmentations

Outputs per training example: 3
Rotation: Between -15° and +15°
Grayscale: Apply to 25% of images
Saturation: Between -25% and +25%
Blur: Up to 2.5px
Noise: Up to 5% of pixels
Bounding Box: Flip: Horizontal
Bounding Box: Exposure: Between -25% and +25%

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