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Object Detection

Test Image Dataset

Try Pre-Trained Model
Versions
2023-12-31 10:17am
v4
Dec 31, 2023
2023-12-30 4:55pm
v3
Dec 30, 2023
2023-12-30 10:50am
v2
Dec 30, 2023
2023-12-30 10:47am
v1
Dec 30, 2023
v2

2023-12-30 10:50am

Generated on Dec 30, 2023
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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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1200 Total Images

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Dataset Split

Train Set 75%
900Images
Valid Set 17%
200Images
Test Set 8%
100Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Grayscale: Applied

Augmentations

Outputs per training example: 3
Crop: 0% Minimum Zoom, 10% Maximum Zoom
Rotation: Between -5° and +5°
Shear: ±5° Horizontal, ±5° Vertical
Saturation: Between -10% and +10%
Brightness: Between -20% and +20%
Exposure: Between -5% and +5%
Blur: Up to 1px