EGH450 ITA

Group_9_V1

Object Detection

Group_9_V1 Image Dataset

v8

Week 5 Dataset

Generated on Aug 24, 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.
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Dataset Split

Train Set 85%
957Images
Valid Set 9%
107Images
Test Set 6%
67Images

Preprocessing

Auto-Orient: Applied
Static Crop: 25-75% Horizontal Region, 25-75% Vertical Region
Resize: Stretch to 416x416

Augmentations

Outputs per training example: 3
Rotation: Between -15° and +15°
Noise: Up to 5% of pixels
Bounding Box: Brightness: Between -20% and +20%
Bounding Box: Blur: Up to 10px
Person-Backpack
2993 images
items
159 images
person-backpack-obstacle
479 images