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99742 sets of labeled data for humans and pets (cats and dogs)
cat
dog
bounding box
keypoint
99742 sets of annotated data for humans and pets (cats and dogs), with each set consisting of a JSON document containing bounding box and keypoint annotations for the humans and pets (cats and dogs) in the corresponding image.The data covers multiple ethnicities, multiple cat breeds, multiple dog breeds, various scenes, multiple age groups, multiple viewing angles, multiple postures, and various lighting conditions.Annotation accuracy requirements: a bounding box is considered qualified if its four-side offset does not exceed 5 pixels; the qualified rate for bounding boxes shall be no less than 95%. The keypoint annotation accuracy shall be no less than 95%. The label accuracy shall exceed 95%.The data can be used for object detection and keypoint detection of humans and pets (cats and dogs), as well as breed classification of cats and dogs.
This is a paid datasets for commercial use, research purpose and more. Licensed ready made datasets help jump-start AI projects.
Specifications
Data Content
Each data sample consists of one image and one JSON document. The JSON document contains structured data for object detection and keypoint annotations of humans and pets (cats and dogs) in the image.
Data Scale
There are a total of 99742 data samples, categorized as follows: 30647 samples contain only cats; 39621 samples contain only dogs; 52 samples contain only cats and dogs; 8154 samples contain only humans and cats; 20854 samples contain only humans and dogs; and 414 samples contain humans, cats, and dogs together.
Collection diversity
Multiple human races, multiple cat breeds, multiple dog breeds, multiple scenes, multiple age groups, multiple angles, multiple postures, and multiple lighting conditions.
Data format
Image formats (e.g., JPG) and JSON document format.
Image pixel count
The total number of pixels in an image ranges from 4,096 to 51,840,000 pixels.
Annotation Accuracy
A bounding box is considered qualified if the deviations on all four sides do not exceed 5 pixels, and the qualified rate of bounding boxes shall be no less than 95%. The keypoint annotation accuracy shall be no less than 95%. The label accuracy shall exceed 95%.