Dataset Versions

v1

Test 1

Generated on May 22, 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 8%
896Images
Valid Set 0%
48Images
Test Set 1%
80Images

Preprocessing

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

Augmentations

Outputs per training example: 2
Flip: Horizontal, Vertical
Rotation: Between -15° and +15°
Blur: Up to 2.5px
Noise: Up to 0.89% of pixels

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