Dataset Versions

v10

2024-06-09 10:10pm

Generated on Jun 9, 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 81%
195Images
Valid Set 10%
25Images
Test Set 9%
21Images

Preprocessing

Isolate Objects: Applied
Dynamic Crop: Class: metal
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Filter Null: Require at least 57% of images to contain annotations.

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise
Crop: 0% Minimum Zoom, 14% Maximum Zoom
Rotation: Between -10° and +10°
Shear: ±7° Horizontal, ±7° Vertical

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