isense

dataset_isense_3

Object Detection

dataset_isense_3 Image Dataset

v2

isense_v1

Generated on Dec 20, 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.
CreateML JSON
CreateML JSON format is used with Apple's CreateML and Turi Create tools.
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Dataset Split

Train Set 82%
7000Images
Valid Set 12%
1000Images
Test Set 6%
500Images

Preprocessing

Auto-Orient: Applied

Augmentations

Outputs per training example: 2
Flip: Horizontal
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Brightness: Between -15% and +15%
Blur: Up to 1px
Noise: Up to 3% of pixels