Dataset Versions

v5

2023-10-17 12:28pm

Generated on Oct 17, 2023

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 87%
16377Images
Valid Set 8%
1537Images
Test Set 5%
847Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Filter Null: Require at least 90% of images to contain annotations.

Augmentations

Outputs per training example: 3
Flip: Horizontal
Rotation: Between -5° and +5°
Brightness: Between -25% and +25%
Blur: Up to 1.5px
Noise: Up to 3% of pixels
Bounding Box: Flip: Horizontal
Bounding Box: Rotation: Between -5° and +5°
Bounding Box: Brightness: Between -25% and +25%
Bounding Box: Blur: Up to 1.5px
Bounding Box: Noise: Up to 3% of pixels