Dataset Versions

v4

2024-08-12 8:08pm

Generated on Aug 12, 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 51%
33Images
Valid Set 20%
13Images
Test Set 29%
19Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 3
Bounding Box: Brightness: Between -15% and +15%
Bounding Box: Exposure: Between -24% and +24%
Bounding Box: Blur: Up to 2.5px
Bounding Box: Noise: Up to 10% of pixels

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