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Add dexterous hand sample: bulk_9_videos_933d5ad5 (9112 merged rows, wrist-relative fields + motion_intelligence)
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{
"schema_version": "1.3.1",
"job_id": "bulk_9_videos_933d5ad5",
"batch": true,
"video_count": 9,
"videos": [
{
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"hand_translating": 1,
"static": 1
}
},
"sequence": {
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"action_label": "Dexterous Hand movements",
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}
},
{
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}
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}
},
{
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}
},
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}
},
{
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},
{
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},
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},
{
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},
"sequence": {
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},
{
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"motion_intelligence": {
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},
{
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"motion_class_histogram": {
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"static": 1
}
},
"sequence": {
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"action_label": "Dexterous Hand movements",
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"hip_center_displacement_mean_norm": 0.0,
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"inter_frame_steps": 603,
"velocity_proxy_available": true,
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}
},
{
"original_filename": "hand_movement_pexels_30614796.mp4",
"fps": 60.0,
"exported_frames": 948,
"motion_intelligence": {
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"mean_speed_combined": 0.363739,
"mean_stride_length": 0.0,
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"motion_class_histogram": {
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"static": 1
}
},
"sequence": {
"frame_count": 948,
"action_label": "Dexterous Hand movements",
"avg_landmark_visibility": 0.950595,
"hip_center_displacement_mean_norm": 0.0,
"hip_center_path_sum_norm": 0.0,
"inter_frame_steps": 947,
"velocity_proxy_available": true,
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"arm_swing_amplitude": 0.0,
"step_frequency": 60.0,
"motion_consistency": 1.0
}
}
],
"aggregate": {
"total_frames": 9112,
"action_label": "Dexterous Hand movements",
"stride": 1,
"mean_quality_score": 0.9715,
"mean_avg_landmark_visibility": 0.942951,
"fps_mean": 34.98001998001998,
"motion_intelligence": {
"enabled": true,
"domain": "hand_dexterous",
"frames_with_intel": 2278,
"mean_speed_combined": 0.631809,
"mean_finger_tip_speed_mean": 0.631809,
"mean_wrist_speed_norm_per_sec": 0.450045,
"hand_activity_histogram": {
"finger_active": 2240,
"hand_translating": 1,
"manipulation": 24,
"static": 13
},
"grip_type_histogram": {
"neutral": 3,
"open": 1444,
"pinch": 227,
"power": 33,
"precision": 571
}
},
"buyer_marketing": {
"tagline": "Train your AI on real hand motion data \u2014 ready in minutes.",
"commercial_use": "Unlike many academic datasets, Quality Vision B2B exports are intended for commercial use under your agreed license terms \u2014 see LICENSE_EXPORT.txt in the ZIP and manifest.license / dataset_license (not limited to research-only).",
"feature_highlights": [
"21-point hand keypoints (MediaPipe-style)",
"Temporal sequences with timestamps",
"Per-frame action field + metadata/actions.csv (optional per-frame taxonomy via job payload)",
"Hand\u2013object interaction metadata when hq.object_interaction is configured",
"Optional camera_pov: first_person | third_person (manual)",
"JSONL + optional COCO-like keypoints export",
"PyTorch loader guide: examples/README_PYTORCH.md"
],
"use_cases": [
{
"label": "Robotics",
"emoji": "\ud83e\udd16"
},
{
"label": "AR/VR",
"emoji": "\ud83e\udd7d"
},
{
"label": "Gesture recognition",
"emoji": "\u270b"
},
{
"label": "Human behavior AI",
"emoji": "\ud83e\udde0"
}
]
}
},
"notes": "Batch export: `videos[]` holds one sequence block per source file. data.jsonl concatenates all frames with global frame_id and source_video_index; per_video/video_*.jsonl mirrors the same records split by source; see bulk_combined_manifest.json for paths."
}