Dataset Versions

v1

2023-10-02 12:03am

Generated on Oct 1, 2023

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 88%
9184Images
Valid Set 8%
864Images
Test Set 4%
431Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Tile: 3 rows x 3 columns
Filter Null: Require at least 60% of images to contain annotations.

Augmentations

Outputs per training example: 3
Bounding Box: Rotation: Between -15° and +15°
Bounding Box: Noise: Up to 5% of pixels

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