Dataset Versions

v1

2024-07-05 5:24am

Generated on Jul 5, 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.
Other Formats
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Dataset Split

Train Set 78%
1792Images
Valid Set 11%
256Images
Test Set 11%
256Images

Preprocessing

Auto-Orient: Applied
Isolate Objects: Applied
Static Crop: 25-75% Horizontal Region, 25-75% Vertical Region
Resize: Stretch to 640x640
Tile: 8 rows x 8 columns

Augmentations

Outputs per training example: 2
Exposure: Between -10% and +10%

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