Dataset Versions

v6

2023-08-23 3:54pm

Generated on Aug 23, 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 90%
252Images
Valid Set 6%
18Images
Test Set 3%
9Images

Preprocessing

Auto-Orient: Applied
Resize: Fit (black edges) in 640x640

Augmentations

Outputs per training example: 3
Hue: Between -1° and +1°
Saturation: Between -1% and +1%
Brightness: Between -1% and +1%
Exposure: Between -1% and +1%
Blur: Up to 0.25px
Noise: Up to 1% of pixels