Misses and false alarms on the line
Inspection models miss under lighting change, occlusion, or tiny defects. You need failures shot on the real line and labeled clearly — not random stills.
Industrial AI video data
Defect detection, tracking, and action recognition: pixel labels, frame calibration, structured delivery. We turn “the model cannot see it” into data you can train and score — for inspection, driving, security, and generated video.
Three media on one data desk
Video on this page and Video capability. Stills: image labels. Code: code data. Combined repair entry: data repair. BigSocialBoss sells growth software and AI training data. It is not a cross-border e-commerce compliance consultancy.
What you may be hitting
Inspection models miss under lighting change, occlusion, or tiny defects. You need failures shot on the real line and labeled clearly — not random stills.
Occlusion, crossing motion, and low light break tracking. You need frames that line up with each other, not a pile of screenshots.
Identity drift, skipped motion, warped products. Box the problem on the frame and name the class so the model can train it back.
Eval and train sets do not match; long-tail bugs appear only after ship. You need data you can reproduce, spot-check, and refill by batch.
We turn those failures into video data you can train and sign off on.
Core service
High-precision labels for inspection, driving, security, and generated video: defect boxes, tracking, action. Pixel boxes, frame calibration, class names and notes in one pack.
Objects pop in or vanish; cuts land in the wrong scene; lighting jumps with no source. Align by frame and mark where it first goes wrong.
Skipped frames, inverted joints, hands clipping through objects. Mark breaks on tracks and keypoints.
Gravity, collisions, and deformation that ignore common sense — so the model can learn what “wrong” looks like.
Face swaps, garbled text, warped products and logos. Box the region and classify it for targeted training.
Visual samples
Labeling is a see-it service. Sample frames (boxes, classes, frame numbers) go here as they are cleared for public use.
Why work with us
Pilot labels first, then volume. Timeline and size go in the plan. No mystery scraped libraries.
Labeling and QA are separate roles. CV, generated video, and inspection scenes have someone owning the guide — not click-farm only.
Frozen guide → gold pilot → auto rules → human spot check. Batches under the bar do not ship. QA gates
NDA available. Customer-authorized, our own shoots, or contract-allowed synthetic data. Encrypted transfer to storage you name.
How we work
Scene, failures, scale (hours or frames), how fine the labels should be.
A small gold set. Freeze the guide, then scale.
Frame labels on the frozen classes. Auto rules catch cheap mistakes.
Spot-check at the agreed rate. Fail the pack and we relabel.
Video + labels + coverage notes, encrypted to your store.
Project types (desensitized)
No live customer names on this page. Typical project types — details on inquiry.
Short drama / digital humans: identity drift, skipped motion, warped products. Labeled by shot and character ID for train and pre-ship eval.
Line defects, occlusion, low-light false alarms; boxes and action clips. Identifiable data handled per contract.
What you receive
| Included | What it means |
|---|---|
| Source video / frames | Agreed resolution and frame rate so training can be reproduced |
| Issue labels | Where the defect sits, its type, a short note; masks or keypoints when needed |
| Project notes | Counts by issue and scene, so you can check coverage |
| Handoff | Encrypted transfer to storage you name. No public drive default links |
Inquiry
Tell us the scene, failures you already see, and rough scale. We reply by email or WeChat / Telegram. Quote after scope — this page does not list prices.