Dataset Versions

v4

2023-10-07 12:40pm

Generated on Oct 7, 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 86%
2721Images
Valid Set 9%
288Images
Test Set 5%
145Images

Preprocessing

Auto-Orient: Applied
Isolate Objects: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal
Grayscale: Apply to 25% of images
Hue: Between -25° and +25°
Saturation: Between -10% and +10%
Brightness: Between -17% and +17%
Exposure: Between -10% and +10%
Bounding Box: Brightness: Between 0% and +50%