SemSem

semsem0

Object Detection

semsem0 Image Dataset

v2

2024-03-15 4:15am

Generated on Mar 15, 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 94%
4524Images
Valid Set 4%
177Images
Test Set 2%
89Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Modify Classes: 0 remapped, 0 dropped

Augmentations

Outputs per training example: 3
Rotation: Between -14° and +14°
Grayscale: Apply to 15% of images
Hue: Between -16° and +16°
Saturation: Between -25% and +25%
Brightness: Between -20% and +20%
Exposure: Between -15% and +15%
Blur: Up to 1.7px
Noise: Up to 1.45% of pixels
Cutout: 5 boxes with 13% size each
Bounding Box: Crop: 0% Minimum Zoom, 20% Maximum Zoom
Bounding Box: Shear: ±10° Horizontal, ±10° Vertical