Dataset Versions

v10

2024-08-28 1:21pm

Generated on Aug 28, 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 90%
11780Images
Valid Set 7%
890Images
Test Set 3%
454Images

Preprocessing

Auto-Orient: Applied
Isolate Objects: Applied
Resize: Stretch to 245x245
Auto-Adjust Contrast: Using Contrast Stretching
Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 4
90° Rotate: Upside Down
Rotation: Between -8° and +8°
Grayscale: Apply to 15% of images
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Blur: Up to 1.2px
Noise: Up to 1.64% of pixels