Dataset Versions

v7

2022-04-21 11:18am

Generated on Apr 21, 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 86%
369Images
Valid Set 14%
60Images
Test Set %
0Images

Preprocessing

Resize: Stretch to 416x416
Filter Null: Require at least 50% of images to contain annotations.

Augmentations

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