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rn1403/AI-Powerd-Image-Forgery-Detection

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Implemented CNN, CNN-SVM and a novel attention-based architecture to intelligently analyze image content and identify potential forgeries. • Employed the RELU activation function in the CNN network to enhance the model's ability to capture complex patterns and features, contributing to the system's remarkable accuracy of 95%.

active 2024-02-16 → 2024-11-30 (UTC)

Complete coverage27,986 / 27,986 hourly files (100%) · 2 absent upstream2023-08-15 → 2026-10-24 (UTC)
Events
18
Pushes
3
Pull requests
0
Issues
0
Stars
7
Forks
0

Activity over time

Daily event counts in the loaded window

Line chart, 289 days from 2024-02-16 to 2024-11-30. Pushes: 3 total, peak 3 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 0 total, peak 0 in a day. Comments: 0 total, peak 0 in a day. Stars: 7 total, peak 2 in a day.

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  • Stars

Top contributors

Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity

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rn14033300

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No issue or PR events — this repo's activity is pushes only.

Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 7 stars here means stars gained during the window, not the repo's star count.