Dataset Versions

v1

2022-10-13 12:26pm

Generated on Oct 13, 2022

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 98%
3924Images
Valid Set 2%
88Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 1280x1280
Tile: 2 rows x 2 columns
Filter Null: Do not filter any null images.

Augmentations

Outputs per training example: 3
Rotation: Between -10° and +10°
Shear: ±15° Horizontal, ±15° Vertical

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