Dataset Versions

v2

2024-10-09 5:27am

Generated on Oct 9, 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 82%
10386Images
Valid Set 12%
1492Images
Test Set 6%
732Images

Preprocessing

Auto-Orient: Applied
Isolate Objects: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization

Augmentations

Outputs per training example: 2
Brightness: Between -14% and +14%
Blur: Up to 2.5px
Bounding Box: Rotation: Between -15° and +15°
Bounding Box: Shear: ±14° Horizontal, ±12° Vertical