Informatika

GTv2,1

Object Detection

GTv2,1 Image Dataset

v4

2023-03-04 1:57pm

Generated on Mar 4, 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%
1440Images
Valid Set 4%
60Images
Test Set 4%
60Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 448x448
Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 3
Rotation: Between -6° and +6°
Hue: Between -17° and +17°
Saturation: Between -17% and +17%
Brightness: Between -17% and +17%
Exposure: Between -17% and +17%
Blur: Up to 0.75px
Cutout: 4 boxes with 4% size each
Mosaic: Applied

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