Dataset Versions

v4

2021-08-22 3:08pm

Generated on Aug 22, 2021

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 92%
1525Images
Valid Set 5%
90Images
Test Set 3%
47Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 416x416
Auto-Adjust Contrast: Using Adaptive Equalization
Tile: 3 rows x 3 columns
Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 5
Rotation: Between -5° and +5°
Hue: Between -25° and +25°
Saturation: Between -25% and +25%
Noise: Up to 5% of pixels