sesar

test3-

Object Detection

test3- Image Dataset

v2

2023-07-06 8:19pm

Generated on Jul 6, 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 99%
5259Images
Valid Set 1%
32Images
Test Set 1%
34Images

Preprocessing

Resize: Stretch to 240x80
Modify Classes: 37 remapped, 0 dropped

Augmentations

Outputs per training example: 3
Rotation: Between -10° and +10°
Grayscale: Apply to 25% of images
Saturation: Between -30% and +30%
Brightness: Between -15% and +15%
Noise: Up to 5% of pixels