Diverse Dog Collection dataset of various races and breeds. Over 100k images.

This dog dataset is a large, high-quality collection of approximately 100,000 high-resolution images. Each image in the dataset has been tagged with manually created, descriptive tags, providing valuable context and details about the image contents.

Given the dataset's focus on dogs, tags include information such as the position or activity of the dog (such as sitting, standing, running, etc.), additional context about the dog's environment or other notable features and partially comprehensive information about the dogs breed and type.

The dataset is based on commercially and legally clean data, and it complies with all relevant copyright and privacy laws and can be used for commercial applications. This is important for businesses and researchers who need to ensure their work respects legal restrictions on data use.

The high resolution of the images means that they contain a large amount of detail, which can be beneficial for training more accurate and sophisticated image recognition models. High-resolution images can allow models to detect subtle features or patterns that may be missed in lower-resolution images.

The manual creation of descriptive tags represents a significant amount of human effort in preparing the dataset. The tags likely provide a rich source of information that can be used for training machine learning models, and their manual creation suggests they may be more accurate and nuanced than tags generated by automated methods.

Overall, this dataset is a robust resource that could be valuable for a wide range of applications, from machine learning research to the development of applications in fields such as dog breeding, veterinary medicine, pet services, and more.

Environment: Commercial stock
Angle: Random
Augmentation: None
AR: Various