Dataset Versions

v1

2022-10-27 1:01pm

Generated on Oct 27, 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
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Dataset Split

Train Set 85%
33Images
Valid Set %
0Images
Test Set 15%
6Images

Preprocessing

Auto-Orient: Applied
Isolate Objects: Applied
Resize: Stretch to 224x224

Augmentations

Outputs per training example: 3
Rotation: Between -1° and +1°
Grayscale: Apply to 16% of images
Hue: Between -9° and +9°
Saturation: Between -25% and +25%
Brightness: Between -18% and +18%
Exposure: Between -13% and +13%
Blur: Up to 3.75px
Noise: Up to 5% of pixels