Pet Videos Data Collection

Project Overview:

Objective

We specialize in creating rich and varied datasets for machine learning models. Our recent endeavor in the Pet Videos Data Collection project stands as a testament to our expertise. Our aim was to build a dataset that not only enhances AI-driven pet recognition tools but also provides invaluable insights into animal behavior and movement.

Scope

Our team successfully curated an extensive range of videos capturing the essence of various pet species, breeds, ages, and activities across different environments. This diverse collection is a leap forward in understanding the nuanced motions and behaviors of pets.

Sources

User Contributions: We reached out to pet owners globally, gathering over 30,000 home videos through a dedicated portal designed for ease of submission and privacy compliance.
Animal Shelters Partnership: Collaborating with numerous shelters, we added another dimension to our dataset with 10,000 videos showcasing pets in these unique settings.
Vet Clinics Involvement: By including 5,000 videos from vet clinics, we captured pets in healthcare environments.
Pet Events Coverage: Our team was on the ground at various pet events, adding 5,000 videos of pets showcasing their skills and personalities.

Data Collection Metrics

Home Videos: 30,000
Shelter Footage: 10,000
Vet Clinics: 5,000
Pet Events: 5,000

Annotation Process

Stages

Pet Type and Breed: Label each video with the type of pet (dog, cat, bird, etc.) and, if applicable, the specific breed.
Activity Annotation: Annotate the primary activity seen in the video (e.g., playing, eating, sleeping, performing tricks).
Environment Tagging: Note the primary environment or setting of the video (indoor, outdoor, vet clinic, event venue).

Annotation Metrics

50,000 Pet Type & Breed Annotations
50,000 Activity Annotations
50,000 Environment Tags

Quality Assurance

Video Quality Review: We ensured each video met high standards of clarity and stability.
Privacy Checks: Full compliance with privacy standards was maintained, focusing solely on pets.
Metadata Verification: Annotations and tags were cross-checked for precision.

QA Metrics:

Videos Enhanced for Quality: 5,000
Privacy-Compliant Videos: 50,000
Metadata Audits: 10,000

Conclusion

Our Pet Videos Data Collection project is a milestone in the field of AI and animal research. By gathering and annotating such a vast and varied dataset, demonstrates unparalleled capability in supporting the advancement of AI applications and animal behavior studies.