emad2001/DeLR-Cephalometric-ConvNeXtV2

DeLR – Dual-encoder Landmark Regression A PyTorch implementation of the DeLR (Dual-encoder Landmark Regression) architecture for cephalometric landmark detection, evaluated on three public datasets: Aariz Cephalograms — 1000 images, 29 annotated landmarks (700 / 150 / 150 train/valid/test). CephAdoAdu Dataset — 700 images, 10 landmarks, mixed adolescent + adult cohort (the public release contains the official 400-image training part and 300-image validation part; the 300… See the full description on the dataset page: https://huggingface.co/datasets/emad2001/DeLR-Cephalometric-ConvNeXtV2.

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