Dataset Versions

v28

2023-08-19 4:44pm

Generated on Aug 19, 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.
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13474 Total Images

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Dataset Split

Train Set 71%
9534Images
Valid Set 24%
3204Images
Test Set 5%
736Images

Preprocessing

Auto-Orient: Applied
Isolate Objects: Applied
Grayscale: Applied

Augmentations

Outputs per training example: 3
Rotation: Between -19° and +19°
Grayscale: Apply to 29% of images
Saturation: Between -65% and +65%
Exposure: Between -28% and +28%
Noise: Up to 6% of pixels
Bounding Box: Crop: 39% Minimum Zoom, 71% Maximum Zoom