YOLOv4

YOLO_IMAGE

Object Detection

YOLO_IMAGE Image Dataset

v2

2022-01-18 7:53pm

Generated on Jan 19, 2022

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 86%
381Images
Valid Set 10%
44Images
Test Set 4%
20Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x480

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 35% Maximum Zoom
Rotation: Between -29° and +29°
Shear: ±24° Horizontal, ±25° Vertical
Grayscale: Apply to 25% of images
Hue: Between -81° and +81°
Saturation: Between -81% and +81%
Brightness: Between -51% and +51%
Exposure: Between -32% and +32%
Blur: Up to 6.75px
Noise: Up to 15% of pixels
Cutout: 22 boxes with 11% size each