Dataset Versions

v6

2024-08-28 6:51am

Generated on Aug 28, 2024

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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Dataset Split

Train Set 83%
2542Images
Valid Set 12%
354Images
Test Set 6%
173Images

Preprocessing

Auto-Orient: Applied
Isolate Objects: Applied
Dynamic Crop: Class: can
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Grayscale: Applied
Tile: 2 rows x 2 columns
Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 2
Rotation: Between -15° and +15°
Brightness: Between -15% and +15%
Noise: Up to 0.1% of pixels

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