lizbush209@gmail.com

newpics

Object Detection

newpics Image Dataset

v1

2021-12-19 5:26pm

Generated on Dec 20, 2021

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 85%
3933Images
Valid Set 10%
475Images
Test Set 5%
224Images

Preprocessing

Auto-Orient: Applied
Isolate Objects: Applied
Resize: Fit (reflect edges) in 416x416
Auto-Adjust Contrast: Using Adaptive Equalization

Augmentations

Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 25% of images
Mosaic: Applied
Bounding Box: Rotation: Between -15° and +15°
Bounding Box: Shear: ±15° Horizontal, ±15° Vertical
Bounding Box: Noise: Up to 5% of pixels
broken-rail-road-and-plants
501 images
Rail-Track-data
501 images
group-of-annotation
501 images
group-of-annotation
501 images