Dataset Versions

v2

train-spidermite

Generated on Apr 14, 2022

Popular Download Formats

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 87%
12746Images
Valid Set 9%
1291Images
Test Set 4%
530Images

Preprocessing

Auto-Orient: Applied
Filter Null: Require at least 25% of images to contain annotations.

Augmentations

Outputs per training example: 3
Grayscale: Apply to 25% of images
Brightness: Between -42% and +42%
Exposure: Between -20% and +20%
Blur: Up to 1.5px

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