We just released our newest **Jogging Pose Dataset** — 61 real-world jogging videos processed with strict HQ filtering.
### Dataset Specifications
- **Videos**: 61 (Pexels source)
- **HQ Frames exported**: **14,550** (incl. horizontal flip + keypoint noise augmentations)
- **Accepted frames (pre-augmentation)**: 4,850
- **Acceptance rate**: **67.81%**
- **Mean Quality Score**: **0.857**
- **Mean landmark visibility**: 0.806
- **Mean motion consistency**: 0.908
**Technical features included:**
- 33 keypoints (MediaPipe BlazePose compatible)
- Gaussian temporal smoothing (window = 5 on x/y/z)
- Hip-center + torso-scale body normalization
- Velocity, acceleration, stride length, and motion consistency metadata
- Full quality report + rejected frames for transparency
### Perfect for:
- Humanoid robot locomotion training
- Imitation learning & reinforcement learning
- Gait analysis & sports biomechanics
- Action recognition models
**Price**: One-time purchase on Gumroad (commercial license).
[Buy Jogging Pose Dataset now →](https://qvision.space/dataset-pricing)