Ready-made dataset
Professional AI Jogging & Locomotion Dataset — 14,500+ HQ Frames (61 videos)
Jogging-focused locomotion bundle for pose estimation, gait analysis, and motion-model training.
Engineered with the Quality Vision Motion Dataset Engine: 61 source videos, quality-first filtering, Gaussian smoothing on accepted frames, and flip + keypoint-noise augmentations.
One-time: $330Source videos: 61Rows exported (incl. augments): 14,550HQ accepted (pre-aug): 4,850
Dataset overview
- Action label: jogging (bulk job
bulk_61_videos_7efafad2) - Exported rows (incl. augmentations): 14,550
- HQ frames (pre-augmentation): 4,850 accepted (~67.8% of sampled frames)
- Mean quality (accepted): ~0.857
- Mean landmark visibility (accepted): ~0.806
- Stride: 3 · Post-processing: hip-centered torso scale + Gaussian smooth (window 5)
Technical stack
- Pose + kinematics: per-frame landmarks, velocity / acceleration proxies where available
- Layout: same export tree as other Quality Vision bulk bundles (manifest, global stats, per-video splits)
Structured layout
data.jsonl— merged exportper_video/*.jsonl,bulk_combined_manifest.jsonfeatures.json,global_stats.json,export_quality_report.json
Free samples
Try the public format on GitHub — QualityVision-Motion-Dataset-Samples.
Purchase & licensing
- Price: set on the Gumroad product page (one-time purchase)
- Deliverable: JSONL + metadata exports — not raw videos
- Contact: info@qvision.space