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80,000 Images – Pet Facial Recognition Dataset (Cats & Dogs with Keypoint Annotations)
cat face landmarks dataset
dog face landmarks dataset
animal facial landmark dataset
cat dog facial recognition dataset
pet face recognition dataset
pet biometric dataset
animal face detection datase
pet identification dataset
animal landmark annotation dataset
dog facial keypoints dataset
cat face recognition dataset
The Cat and Dog Facial Landmarks Dataset contains 80,000 annotated images across a wide range of indoor and outdoor environments. The data diversity includes multiple scenes, multiple dog and cat breeds, different face angles, different shooting distances. Each image is annotated with facial landmarks (keypoints). This dataset can be used for tasks such as cat and dog face recognition, breed classification, pet identity authentication, biometric verification, and animal face detection
This is a paid dataset licensed for commercial use. Ready-made datasets are available for immediate integration into AI projects.
Specifications
Data size
80,000 images. There is only one cat face or dog face in an image
Quantitative distribution
40,000 cat images, 40,000 dog images
Collecting environment
including indoor scenes and outdoor scenes
Data diversity
multiple scenes, multiple dog and cat types, different face angles, different shooting distances
Data format
.png, .json
Annotation content
25 cat face bone landmarks, 21 dog face bone landmarks the properties were annotated
Accuracy
The landmarks location errors in x and y directions are less than 3 pixels, which is considered as a qualified annotation, and the annotation accuracy of landmarks is over 97%. The annotation accuracy of attributes is over 97%
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.
Specifications
Sample
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