Dataset Versions

v2

2024-08-19 10:59pm

Generated on Aug 19, 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 75%
576Images
Valid Set 17%
128Images
Test Set 8%
64Images

Preprocessing

Auto-Orient: Applied
Resize: Fill (with center crop) in 640x640
Tile: 8 rows x 8 columns

Augmentations

Outputs per training example: 3
Grayscale: Apply to 20% of images
Brightness: Between -15% and +15%