๐ถ Need Dog Data for AI Development?
As the pet industry continues to grow rapidly, the demand for personalized services—especially for dogs—is rising fast. Among them, AI-powered body size estimation is gaining attention for its potential in pet apparel, healthcare, and personalized nutrition.
However, collecting diverse data across breeds, poses, and angles—and processing it accurately—is far more complex than it seems.
This is exactly the kind of challenge that Gendive has successfully tackled. Based on a real client request, Gendive delivered a complete AI training dataset—from collection to high-quality processing and delivery—setting a benchmark in AI data construction.
๐ The Client's Challenge
The client urgently needed images of dog faces and bodies to train an AI model. But they faced several hurdles:
Difficulty sourcing images of 20+ different dog breeds
Need for various facial angles and body postures
Complex labeling of body parts in images
Tight deadlines requiring fast turnaround and high-quality output
From the very first step—data acquisition—the client hit a roadblock.
๐ก Gendive’s Smart Solution
โ Robust Data Collection Strategy
Leveraging our domain expertise in the pet industry, Gendive selected over 20 dog breeds and developed a systematic data collection guideline. To minimize low-quality data caused by dog movement, we provided on-site training, conducted real-time quality checks, and actively recruited offline participants to ensure both volume and accuracy.
โ The dataset includes a wide variety of breeds, captured in multiple angles (front, side, bottom) and poses (sitting, standing, lying down).
โก Expert-Level Data Processing
Using the collected images, Gendive accurately labeled facial and body keypoints, and created bounding box annotations.
What sets this project apart is our approach—anatomical criteria were customized per breed and posture, supported by veterinary references. This enabled us to deliver highly precise training data for key body measurements like neck circumference, chest girth, and leg length—critical for AI body size estimation.
๐ Project Outcome & Value
The client successfully acquired a high-quality dog image dataset that they previously lacked, and received the processed data in ready-to-use JSON format for immediate AI model training.
From collection to QA and delivery, Gendive handled the entire pipeline end-to-end, significantly reducing the client's workload. By following our Quality Management Guidelines v3.1, we ensured a reliable and scalable dataset—making us a trusted partner for both public and private sector AI projects.
๐ค Need AI Training Data? Partner with Gendive!
In AI development, data defines performance. For non-standardized objects like dogs, building the right dataset demands a meticulous approach.
With extensive project experience, Gendive offers full support—from collection to quality control. The quality of your model starts with the data.
Work with Gendive for faster, more accurate AI results.
๐ Save this post if you're in the pet AI space!
๐ฉ Have a project in mind? We're always open to discussing your AI or data needs.
๐ถ Need Dog Data for AI Development?
As the pet industry continues to grow rapidly, the demand for personalized services—especially for dogs—is rising fast. Among them, AI-powered body size estimation is gaining attention for its potential in pet apparel, healthcare, and personalized nutrition.
However, collecting diverse data across breeds, poses, and angles—and processing it accurately—is far more complex than it seems.
This is exactly the kind of challenge that Gendive has successfully tackled. Based on a real client request, Gendive delivered a complete AI training dataset—from collection to high-quality processing and delivery—setting a benchmark in AI data construction.
๐ The Client's Challenge
The client urgently needed images of dog faces and bodies to train an AI model. But they faced several hurdles:
Difficulty sourcing images of 20+ different dog breeds
Need for various facial angles and body postures
Complex labeling of body parts in images
Tight deadlines requiring fast turnaround and high-quality output
From the very first step—data acquisition—the client hit a roadblock.
๐ก Gendive’s Smart Solution
โ Robust Data Collection Strategy
โ The dataset includes a wide variety of breeds, captured in multiple angles (front, side, bottom) and poses (sitting, standing, lying down).
โก Expert-Level Data Processing
Using the collected images, Gendive accurately labeled facial and body keypoints, and created bounding box annotations.
What sets this project apart is our approach—anatomical criteria were customized per breed and posture, supported by veterinary references. This enabled us to deliver highly precise training data for key body measurements like neck circumference, chest girth, and leg length—critical for AI body size estimation.
๐ Project Outcome & Value
The client successfully acquired a high-quality dog image dataset that they previously lacked, and received the processed data in ready-to-use JSON format for immediate AI model training.
From collection to QA and delivery, Gendive handled the entire pipeline end-to-end, significantly reducing the client's workload. By following our Quality Management Guidelines v3.1, we ensured a reliable and scalable dataset—making us a trusted partner for both public and private sector AI projects.
๐ค Need AI Training Data? Partner with Gendive!
In AI development, data defines performance. For non-standardized objects like dogs, building the right dataset demands a meticulous approach.
With extensive project experience, Gendive offers full support—from collection to quality control. The quality of your model starts with the data.
Work with Gendive for faster, more accurate AI results.
๐ Save this post if you're in the pet AI space!
๐ฉ Have a project in mind? We're always open to discussing your AI or data needs.