Dataset Versions

v2

2024-06-10 12:46pm

Generated on Jun 10, 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 77%
1376Images
Valid Set 9%
160Images
Test Set 14%
256Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Tile: 4 rows x 4 columns

Augmentations

Outputs per training example: 3
Grayscale: Apply to 16% of images
Exposure: Between -10% and +10%

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