Dataset Versions

v6

2022-01-24_STNPLAD_insulator_5_5_tile

Generated on Jan 24, 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 100%
884Images
Valid Set %
0Images
Test Set %
0Images

Preprocessing

Tile: 5 rows x 5 columns
Modify Classes: 1 remapped, 4 dropped
Filter Null: Require at least 90% of images to contain annotations.

Augmentations

Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -45° and +45°
Saturation: Between -35% and +35%
Brightness: Between -10% and +10%
Mosaic: Applied