Dataset Overview

Basic Information

• License: Apache‑2.0
• Task Category: Image Classification
• Language: English
• Dataset Size: 10K < n < 100K
• Dataset Name: DogPoseCV

Dataset Content

• Number of Images: 20,578
• Image Description: Dogs in various poses, labeled standing, sitting, lying down, undefined
• Number of Breeds: 120
• Image Resolution: 50 % of images have resolutions between 361 × 333 and 500 × 453 pixels

Dataset Structure

• Class Distribution:
  • standing: 4,143 images
  • sitting: 3,038 images
  • lying down: 7,090 images
  • undefined: 6,307 images

Data Collection & Processing

• Source: Adapted from the Stanford Dog Dataset
• Labels: Manually annotated as standing, sitting, lying down, undefined

Bias, Risks, and Limitations

• Class Imbalance: Noticeable imbalance, with "lying down" nearly twice the "sitting" count.
• Limitation: The "undefined" category mainly contains hard‑to‑distinguish pose images such as close‑up portraits.

Usage Recommendations

• Handling Advice: Address class imbalance using oversampling or data‑augmentation techniques during model training.