Dataset Versions

v1

2024-12-02 5:16pm

Generated on Dec 2, 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
Choose another format.

Dataset Split

Train Set 93%
13014Images
Valid Set 7%
1030Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied
Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 3
Flip: Horizontal
Grayscale: Apply to 25% of images
Hue: Between -24° and +24°
Saturation: Between -31% and +31%
Exposure: Between -15% and +15%
Blur: Up to 3.9px
Noise: Up to 1.92% of pixels
Bounding Box: Brightness: Between -27% and +27%
Bounding Box: Blur: Up to 3.8px
Bounding Box: Noise: Up to 1.68% of pixels