Dataset Versions

v4

2022-04-20 8:09pm

Generated on Apr 20, 2022

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%
2052Images
Valid Set 13%
302Images
Test Set %
0Images

Preprocessing

Isolate Objects: Applied
Resize: Stretch to 416x416
Modify Classes: 0 remapped, 0 dropped
Filter Null: Require at least 50% of images to contain annotations.

Augmentations

Outputs per training example: 3
Exposure: Between -20% and +20%
Bounding Box: Crop: 0% Minimum Zoom, 20% Maximum Zoom
Bounding Box: Rotation: Between -15° and +15°
Bounding Box: Shear: ±16° Horizontal, ±15° Vertical
Bounding Box: Exposure: Between -30% and +30%
Bounding Box: Blur: Up to 7px
Bounding Box: Noise: Up to 6% of pixels