RazerArdi/Design-and-Evaluation-of-a-Deep-Learning-Image-Retrieval-System-Using-CNNs-and-Distance-Metrics

A Content-Based Image Retrieval (CBIR) system comparing pre-trained (VGG16, ResNet50) and custom CNN models on the UKBench dataset using mAP and various distance metrics.

15
/ 100
Experimental
No Package No Dependents
Maintenance 6 / 25
Adoption 0 / 25
Maturity 9 / 25
Community 0 / 25

How are scores calculated?

Stars

Forks

Language

Jupyter Notebook

License

MIT

Last pushed

Nov 06, 2025

Commits (30d)

0

Get this data via API

curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/RazerArdi/Design-and-Evaluation-of-a-Deep-Learning-Image-Retrieval-System-Using-CNNs-and-Distance-Metrics"

Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.