100 picked and adjusted from moderate abundance

Object Detection

Dataset Versions

v1

90 annotation 10 null

Generated on Mar 2, 2023

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%
2738Images
Valid Set 9%
282Images
Test Set 4%
129Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 1280x1280
Tile: 8 rows x 8 columns
Filter Null: Require at least 90% of images to contain annotations.

Augmentations

Outputs per training example: 3
Crop: 0% Minimum Zoom, 50% Maximum Zoom
Rotation: Between -15° and +15°
Mosaic: Applied