Dataset Versions

v2

2024-10-08 2:27am

Generated on Oct 8, 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 96%
14082Images
Valid Set 2%
261Images
Test Set 2%
340Images

Preprocessing

Resize: Fill (with center crop) in 640x640
Grayscale: Applied
Filter Null: Require at least 90% of images to contain annotations.

Augmentations

Outputs per training example: 3
Flip: Horizontal
Rotation: Between -10° and +10°
Shear: ±10° Horizontal, ±10° Vertical

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