Dataset Versions

v1

2024-11-21 10:49pm

Generated on Nov 21, 2024

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 92%
6291Images
Valid Set 4%
261Images
Test Set 4%
261Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Tile: 3 rows x 3 columns

Augmentations

Outputs per training example: 3
Crop: 0% Minimum Zoom, 25% Maximum Zoom
Brightness: Between -25% and +25%
Exposure: Between -15% and +15%
Blur: Up to 2.5px
Noise: Up to 1.92% of pixels

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