Vggface2-hq -

VGGFace2-HQ is a high-quality, cleaned-up version of the original VGGFace2 dataset. The original VGGFace2, released by the Visual Geometry Group at Oxford, contains over 3.3 million images of 9,131 identities, but it suffers from common web-scraping issues: mislabeled samples, extreme pose variations, heavy compression artifacts, and low-resolution faces.

def __len__(self): return len(self.samples) vggface2-hq

If you need a deep dive into a specific aspect (e.g., creating your own HQ pipeline, training a recognition model, or comparing with other datasets), let me know. VGGFace2-HQ is a high-quality, cleaned-up version of the

def __getitem__(self, idx): img_path, label = self.samples[idx] image = cv2.imread(img_path) image = cv2.cvtColor(image, cv2.COLOR_BGR2RGB) if self.transform: image = self.transform(image) return image, label VGGFace2-HQ is a high-quality