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Home > All Category Datasets > Computer Vision Datasets > 717K Cat & Dog Images – Animal Face Recognition Dataset

717K Cat & Dog Images – Animal Face Recognition Dataset

cat face dataset

dog face dataset

cat and dog face dataset

cat dog image dataset

animal face dataset

This dataset contains 91,882 unique cat and dog face IDs, including 38,099 cats and 53,783 dogs. The dataset is suitable for animal face recognition, cat and dog identification.

This is a paid datasets for commercial use, research purpose and more. Licensed ready made datasets help jump-start AI projects.

Specifications

Specifications

Data size

91,882 cats and dogs（38,099 cats, 53,783 dogs），717,899 images in total（296,032 cat images, 421,867 dog images)

Data source

cellphone or camera

Data resolution

the faces of cats and dogs are clear

Data format

the image format is .jpg or another common format

Sample

Sample

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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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