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Object Detection

test Image Dataset

Try Pre-Trained Model
Versions
2023-12-18 12:46pm
v3
Dec 18, 2023
Test set 2 dec 2023
v2
Dec 18, 2023
test set dec 2023
v1
Dec 18, 2023
v3

2023-12-18 12:46pm

Generated on Dec 18, 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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153 Total Images

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Dataset Split

Train Set 82%
126Images
Valid Set 11%
17Images
Test Set 7%
10Images

Preprocessing

Auto-Orient: Applied
Resize: Fill (with center crop) in 640x640
Auto-Adjust Contrast: Using Adaptive Equalization

Augmentations

Outputs per training example: 3
Brightness: Between -50% and +50%
Exposure: Between -12% and +12%
Blur: Up to 1px
Noise: Up to 5% of pixels
Bounding Box: Brightness: Between -50% and +50%
Bounding Box: Noise: Up to 5% of pixels