anomaly Dataset

v1

2023-01-24 2:39pm

Generated on Jan 24, 2023

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
Choose another format.

Dataset Split

Train Set 87%
183Images
Valid Set 9%
18Images
Test Set 4%
9Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Grayscale: Apply to 35% of images
Hue: Between -35° and +35°
Saturation: Between -35% and +35%
Brightness: Between -35% and +35%
Exposure: Between -34% and +34%
Blur: Up to 2.5px
Noise: Up to 5% of pixels
fire
40 images
fire
103 images
fire-accident
2750 images
Car-fire-HK8E
81 images