Informatika

GT

Object Detection

GT Image Dataset

v4

2023-02-24 9:00am

Generated on Feb 24, 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 87%
1254Images
Valid Set 8%
120Images
Test Set 4%
62Images

Preprocessing

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

Augmentations

Outputs per training example: 3
Rotation: Between -7° and +7°
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 3% size each
Mosaic: Applied
GTO
Gerak-Tangan-orang
806 images
Gerak-Tangan
600 images
Gerak-Tangan
450 images
GM
Garak
600 images
GM1
Garak-1
600 images