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sa3-lr-may4

Object Detection

sa3-lr-may4 Image Dataset

v1

2024-05-14 8:27am

Generated on May 14, 2024

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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 88%
156Images
Valid Set 8%
15Images
Test Set 4%
7Images

Preprocessing

No preprocessing steps were applied.

Augmentations

Outputs per training example: 3
Rotation: Between -5° and +5°
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%