Dataset Versions

v21

2023-02-21 8:58pm

Generated on Feb 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 92%
3486Images
Valid Set 8%
301Images
Test Set %
0Images

Preprocessing

Resize: Stretch to 640x640
Tile: 2 rows x 2 columns
Modify Classes: 5 remapped, 0 dropped
Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise
Grayscale: Apply to 10% of images
Hue: Between -25° and +25°
Brightness: Between -25% and +25%
Exposure: Between -25% and +25%

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