Saketh Rajesh

groc

Object Detection

groc Image Dataset

v1

2023-09-16 8:28pm

Generated on Sep 17, 2023

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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.
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Dataset Split

Train Set 85%
250Images
Valid Set 8%
24Images
Test Set 7%
20Images

Preprocessing

Auto-Orient: Applied
Isolate Objects: Applied
Static Crop: 25-75% Horizontal Region, 25-75% Vertical Region
Resize: Stretch to 300x300

Augmentations

Outputs per training example: 2
Flip: Horizontal, Vertical
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Shear: ±15° Horizontal, ±15° Vertical
Blur: Up to 2.5px
Bounding Box: 90° Rotate: Clockwise, Counter-Clockwise