GitHub / Arsalanzabeeb786 / facial-keypoints-detection-using-pytorch
Facial Keypoint Detection using PyTorch and a modified VGG16 architecture. This project identifies 68 facial landmarks—covering eyes, nose, mouth, jawline, and eyebrows—on human faces. The model is trained on normalized keypoints with adaptive pooling, custom dataset handling, and transfer learning.
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PURL: pkg:github/Arsalanzabeeb786/facial-keypoints-detection-using-pytorch
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Forks: 0
Open issues: 1
License: apache-2.0
Language: Jupyter Notebook
Size: 372 MB
Dependencies parsed at: Pending
Created at: 4 months ago
Updated at: 3 months ago
Pushed at: 3 months ago
Last synced at: 8 days ago
Topics: computervision, deeplearning, facedetection, facialkeypointdetection, faciallandmarks, imageprocessing, keypointregression, pytorch, transferlearning, vgg16