Dataset Versions

v2

2024-01-02 12:39pm

Generated on Jan 2, 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 99%
441Images
Valid Set 1%
5Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied
Dynamic Crop: Class: occupied
Resize: Stretch to 1920x1080
Grayscale: Applied

Augmentations

Outputs per training example: 3
Rotation: Between -28° and +28°
Shear: ±15° Horizontal, ±27° Vertical
Noise: Up to 1.25% of pixels
Bounding Box: Exposure: Between -15% and +15%
Bounding Box: Noise: Up to 10% of pixels

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