Mikhail Ronkin

open_pit_train

Object Detection

open_pit_train Image Dataset

v2

2022-02-28 8:58pm

Generated on Feb 28, 2022

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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 97%
774Images
Valid Set 3%
28Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 720x720

Augmentations

Outputs per training example: 3
Crop: 0% Minimum Zoom, 30% Maximum Zoom
Exposure: Between -10% and +10%
Blur: Up to 1.25px
Mosaic: Applied