Dataset Versions

v2

2024-06-10 11:41pm

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.
Other Formats
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Dataset Split

Train Set 94%
3384Images
Valid Set 4%
144Images
Test Set 2%
72Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Tile: 2 rows x 2 columns

Augmentations

Outputs per training example: 2
Grayscale: Apply to 15% of images
Hue: Between -15° and +15°
Bounding Box: Blur: Up to 2.5px
Bounding Box: Noise: Up to 0.1% of pixels