MX

OCR_15_12_2023

Object Detection

OCR_15_12_2023 Image Dataset

v12

2024-01-20 3:29pm

Generated on Jan 20, 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.
Other Formats
Choose another format.

Dataset Split

Train Set 88%
21000Images
Valid Set 10%
2499Images
Test Set 2%
501Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Filter Null: Do not filter any null images.

Augmentations

Outputs per training example: 3
Shear: ±10° Horizontal, ±10° Vertical
Grayscale: Apply to 25% of images
Hue: Between -25° and +25°
Saturation: Between -34% and +34%
Brightness: Between -25% and +25%
Exposure: Between -15% and +15%
Blur: Up to 2px