Dataset Versions

v3

2024-05-29 3:57pm

Generated on May 29, 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 88%
1068Images
Valid Set 9%
104Images
Test Set 4%
48Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Tile: 2 rows x 2 columns

Augmentations

Outputs per training example: 3
Crop: 0% Minimum Zoom, 40% Maximum Zoom
Saturation: Between -55% and +55%
Exposure: Between -27% and +27%
Bounding Box: Exposure: Between -25% and +25%

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