Dataset Versions

v7

2023-05-06 12-01pm - Chip Isolation

Generated on May 6, 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.
Other Formats
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Dataset Split

Train Set 87%
4338Images
Valid Set 8%
385Images
Test Set 5%
244Images

Preprocessing

Auto-Orient: Applied
Isolate Objects: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Filter Null: Require at least 50% of images to contain annotations.

Augmentations

Outputs per training example: 3
Flip: Horizontal
Rotation: Between -30° and +30°
Shear: ±30° Horizontal, ±30° Vertical
Brightness: Between -35% and +35%
Exposure: Between -38% and +38%
Noise: Up to 5% of pixels
Bounding Box: Blur: Up to 2px