Dataset Versions

v8

2024-09-26 12:18am

Generated on Sep 26, 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 89%
1442Images
Valid Set 7%
115Images
Test Set 4%
58Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Filter Null: Require at least 80% of images to contain annotations.

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Rotation: Between -15° and +15°
Grayscale: Apply to 10% of images
Saturation: Between -15% and +15%
Brightness: Between -12% and +12%
Exposure: Between -10% and +10%
Blur: Up to 2px
Noise: Up to 1.01% of pixels

Similar Projects

See More