Results that are similar to your search

Similar results

Cover image for Scientific Image Forgery Detection — Kaggle Competition Part...
Scientific Image Forgery Detection — Kaggle Competition Participated in the ongoing Kaggle competition on Copy-Move Forgery Detection in Scientific Images, aimed at identifying manipulated biomedical figures that can compromise research integrity. For this challenge, I developed a ResNet50 + U-Net hybrid segmentation model using PyTorch, designed to detect and segment forged regions at the pixel level. My approach combines Dice and Focal losses for balanced training, WeightedRandomSampling to oversample forged images, and Test-Time Augmentation (TTA) to improve prediction robustness. Achieved an initial score of 0.303 on the public leaderboard. I’m continuing to experiment with architecture tuning, learning rate schedules, and other loss functions to further enhance performance and generalization.
0
31
Cover image for Hello everyone! I created Brutalism Reimagined
Hello everyone! I created Brutalism Reimagined (https://www.magicpath.ai/projects/326988217792479232?token=d42449148e8bdbdd196c40f41c367a51079a6c5b7d0ea26ad1b77ef673e2348e), a versatile, dual-theme design system designed for absolute clarity in Web3 applications. The vision was a raw, functional aesthetic where every component, from buttons to data tables with integrated sparklines, is built for impact. Its core feature is thoughtful dual-theme support. This is more than a simple inversion, as the light theme was carefully crafted to maintain the bold Brutalist identity while ensuring perfect readability. To prove the system's reusability and velocity, I built a complete Token Swap interface and five documented component categories, all within MagicPath. I loved this challenge and welcome all feedback. Good luck to everyone!
9
34
669