test

recognising products

Object Detection

recognising products Image Dataset

v1

2024-06-15 9:05pm

Generated on Jun 15, 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.
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Dataset Split

Train Set 82%
5326Images
Valid Set 12%
761Images
Test Set 6%
380Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 2
90° Rotate: Clockwise, Counter-Clockwise
Shear: ±7° Horizontal, ±7° Vertical
Saturation: Between -20% and +20%
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%
Blur: Up to 1.5px
Noise: Up to 1.01% of pixels
product-names-ZvRr
3804 images
product-names-gFFN
3784 images
hey
product-names
8204 images
product-names-QPry
951 images
product-names-7BU6
1536 images