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31.5K Images – 106 Facial Landmark Detection Dataset

facial landmark dataset
facial landmark detection dataset
facial landmark annotation dataset
face landmark dataset
facial keypoint dataset

This dataset contains 31,549 facial images annotated with 106 facial landmarks. It includes Black, White, and Indian individuals.The dataset covers diverse and challenging conditions, including multiple scenes, facial poses, age groups, lighting conditions, and complex facial expressions. This data can be used for facial landmark detection.

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This is a paid datasets for commercial use, research purpose and more. Licensed ready made datasets help jump-start AI projects.
SpecificationsSpecifications
Data size
31,549 images. There is only one face in an image
Gender distribution
male: 13,188 images, female: 18,361 images
Race distribution
15,625 images of white race, 4,492 images of black race, 11,432 images of Indian
Collecting environment
including indoor and outdoor scenes
Data format
.jpg, .json
Data diversity
multiple scenes, multiple poses, multiple ages, multiple light conditions and complicated expressions
Annotation content
9 facial attributes, 106 facial landmarks
Accuracy
annotation accuracies of facial attributes and landmarks are over 97%
Sample Sample
Recommended DatasetsRecommended Dataset
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What types of computer vision applications can Nexdata’s datasets support?

Nexdata’s computer vision datasets support a wide range of AI applications, including image classification, object detection, image segmentation, facial and human-related recognition, scene understanding, autonomous driving, and other visual perception tasks. Depending on the dataset, data may include images, videos, bounding boxes, polygons, keypoints, segmentation masks, text annotations, and other structured labels.

Can Nexdata customize Computer Vision datasets based on our specific requirements?

Yes. If our off-the-shelf Computer Vision datasets do not fully meet your requirements, Nexdata provides flexible custom data collection, annotation, and curation services. We can customize data based on your target objects, environments, scenarios, camera specifications, geographic locations, data volume, annotation formats, and quality standards to support specific model training and evaluation needs.

How does Nexdata ensure the quality and scalability of its Computer Vision datasets?

Nexdata applies multi-stage quality control throughout data collection, annotation, validation, and delivery. Depending on project requirements, we can implement customized annotation guidelines, multi-level reviews, consistency checks, and quality sampling to ensure dataset accuracy and consistency. Our data collection and processing capabilities can also be scaled to support large-volume Computer Vision projects.

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