Dataset Versions

v11

2023-05-18 2:16pm

Generated on May 18, 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 100%
10578Images
Valid Set %
0Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Modify Classes: 13 remapped, 16 dropped
Filter Null: Do not filter any null images.

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Rotation: Between -24° and +24°
Hue: Between -80° and +80°
Noise: Up to 5% of pixels
Bounding Box: Shear: ±15° Horizontal, ±15° Vertical
Bounding Box: Exposure: Between -14% and +14%
Bounding Box: Blur: Up to 1.5px

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