paingkl

mdp-train2015

Object Detection

mdp-train2015 Image Dataset

v2

2015x3_be25bn

Generated on Feb 18, 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.
CreateML JSON
CreateML JSON format is used with Apple's CreateML and Turi Create tools.
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Dataset Split

Train Set 92%
4836Images
Valid Set 8%
403Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied

Augmentations

Outputs per training example: 3
Brightness: Between -10% and +10%
Exposure: Between -25% and +25%
Blur: Up to 1px
Noise: Up to 3% of pixels
symbols-nobullseye
2015 images
symbols
2079 images
symbols-bullseye
2015 images