Dataset Versions

v3

Fianl_Dataset_320

Generated on Sep 10, 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 90%
18666Images
Valid Set %
0Images
Test Set 10%
2157Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 320x320

Augmentations

Outputs per training example: 2
Crop: 0% Minimum Zoom, 40% Maximum Zoom
Brightness: Between -39% and +39%
Blur: Up to 10.5px
Noise: Up to 9% of pixels
Cutout: 3 boxes with 14% size each
Bounding Box: Noise: Up to 10% of pixels