EfficientNet_Fine_Tune_Custom_Gender_Classifier Muzammil592 · PARTIAL
Built a gender classification model using EfficientNet-B0 trained on UTKFace . Achieved 90.80% test accuracy with 70/15/15 train-val-test split. FastAPI app in progress for real-time inference via image upload.
github.com/Muzammil592/EfficientNet_Fine_Tune_Custom_Gender_Classifier · ★ 1 · Forks 0 · Size 61.6 MB
SUMMARY
Technologies 4
Scored 2
Observed 2
Practices 6
Evidence 5
Skips 2
COVERAGE
Analyzed 9788 files · 4 commits · 0 API calls
TECHNOLOGIES & DEPTH
Markdown LANGUAGE Depth 70
1 files · PRODUCTION
pip BUILD_TOOL Depth 80
1 files · CONFIGURATION
FastAPI FRAMEWORK Depth —
0 files · config only
Uvicorn LIBRARY Depth —
0 files · config only
PRACTICES
documentation · observedautomated_tests · absentcontinuous_integration · absentcontainerization · absentlinting · absentformatting · absent
ACTIVITY & OWNERSHIP
First commit 2026-06-08
Last commit 2026-06-09
Active months 1
Commits 4