Nahıl AutoML
End-to-end AutoML technique that designs task-specific preprocessing, weight initialization, architecture, activation & loss, and hyperparameters automatically
Same card language as the projects page with short summary + visual
End-to-end AutoML technique that designs task-specific preprocessing, weight initialization, architecture, activation & loss, and hyperparameters automatically
Supported by the Ministry of Health & TÜSEB. BIRADS classification on ~1000 radiologist-labeled mammograms with 90%+ success for mass & calcification detection
Person/vehicle counting and ID tracking at 6 gates. Real-time detection and reporting by processing camera streams instantly