FSLV20

FSLV20

Object Detection

FSLV20 Image Dataset

v1

V20

Generated on May 4, 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.
Other Formats
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Dataset Split

Train Set 92%
43379Images
Valid Set 3%
1486Images
Test Set 5%
2144Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Grayscale: Applied
Filter Null: Require at least 66% of images to contain annotations.

Augmentations

Outputs per training example: 7
Flip: Horizontal
Crop: 0% Minimum Zoom, 5% Maximum Zoom
Rotation: Between -10° and +10°
Saturation: Between -5% and +5%
Brightness: Between -15% and +15%
Exposure: Between -15% and +15%
Blur: Up to 1px
Noise: Up to 0.89% of pixels

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