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64,378 Images – Dog Nose Print Biometric Dataset for Pet Identification
dog nose print dataset
dog biometric dataset
pet identification dataset
dog nose recognition dataset
dog face recognition dataset
animal biometric dataset
dog nose segmentation dataset
This dataset contains 64,378 images of 1,073 dogs’ noses, collected both indoor and outdoor scenes(the collection scene of the same dog didn't change). The data covers multiple lights and multiple dog breeds such as Teddy, Labrador, Shiba Inu, etc. Segmentation annotation are provided for each nose region. This dataset is ideal for dog nose recognition, biometric identification, and segmentation model training.
This is a paid datasets for commercial use, research purpose and more. Licensed ready made datasets help jump-start AI projects.
Specifications
Data size
1,073 dogs, 64,378 images
Environment
multiple scenes, including indoor and outdoor scenes
Diversity
multiple scenes, multiple dog types (such as Teddy, Labrador, ShibaInu, etc.), multiple lights
Device
cellphone
Image parameters
videos are in .mp4 or .MOV format, images are in .jpg format
Collection content
collecting videos of the dog's head
Annotation
segmentation annotation on the dog's nose (noseprint)
Application scenarios
the dog's noseprint is analogous to human fingerprint, the data can be applied to dog face recognition, dog identification, etc
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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