DELIVERY & QUALITY

Delivery & Quality

Every data batch,backed by a clear record.

Connect guidelines, reviews, issues and revisions. Agree acceptance criteria first, then organize production into batches with a clear manifest, a defined quality scope and a path for unresolved issues.

Delivery review summary

QC-CAM-01

Image-annotation batch

Guideline
GUIDE-1.2
Checked units
120 frames
Initial review passed114 / 12095.0%
Rework recheck passed6 / 6100.0%
Current sample passed120 / 120100.0%

QC-CAM-01 / 120 sampled frames / GUIDE-1.2

01 / DELIVERY WORKFLOW

Eight stages. One connected handover.

The same delivery workflow introduced on our homepage, with clear inputs, actions and records at each stage. Roles, cadence and review coverage are agreed at project kickoff.

  1. 01

    Discovery

    Understand objectives; Define data types.

    Stage recordScope and deliverable list
  2. 02

    Assessment

    Review data volume; Evaluate data quality.

    Stage recordData assessment and risk record
  3. 03

    Guidelines

    Define annotation rules; Break down tasks.

    Stage recordGuideline and exception version
  4. 04

    Calibration

    Run a pilot batch; Align interpretations.

    Stage recordPilot and calibration record
  5. 05

    Qualification

    Screen specialists; Train and assess.

    Stage recordTraining and qualification record
  6. 06

    Production

    Plan production; Assign and schedule.

    Stage recordBatch plan and production record
  7. 07

    Quality control

    Layered quality checks; Sample and full reviews.

    Stage recordReview report and issue list
  8. 08

    Acceptance

    Prepare deliverables; Check against criteria.

    Stage recordAcceptance and version manifest

02 / QUALITY CONTROLS

Layered reviews. Shared criteria.

Separate review responsibilities while linking results to the same guideline and data version. Use automated checks and human judgment for the questions each can answer.

01

Production review

Check completeness, classes and attributes against the guide. Record and address obvious issues first.

Record: self-review and open questions
02

Team review

Cross-check ambiguous classes and boundary cases. Feed unclear definitions back into the guide.

Record: review notes and rule clarifications
03

Specialist QC

Review the agreed scope and dimensions. Record issue location, type, severity and affected units.

Record: issues and recheck results
04

Handover review

Check files, versions, formats, sample scope and open issues before a delivery decision.

Record: acceptance checklist and manifest

03 / REVIEW REPORT

Read the result. See the denominator.

Explore three fixed batches with separate initial, rework and current results. These rates describe the listed review units, not model accuracy or the status of unchecked data.

QUALITY REVIEWBatch review record

QC-CAM-01

Road-image annotation batch

Sample recheck complete
Review guideline
GUIDE-1.2
Checked units
120 image frames
Review scope
120 frames sampled from a batch of 600. Initial and current results refer to the same checked sample.
Sample composition
Review composition: 40 frames each from urban, junction and tunnel scenes.

Initial pass rate

95.0%

114 / 120

Initial passes / checked units

Rework recheck pass rate

100.0%

6 / 6

Recheck passes / initial failures

Current sample pass rate

100.0%

120 / 120

(Initial + recheck passes) / checked units

Review result counts

  • Passed initially114
  • Passed after rework6
  • Still unresolved0

Each unit is grouped by one primary issue and counted once. Current sample pass rate = (initial passes + recheck passes) / checked units.

Sample recheck completeAll 120 checked units currently pass. The remaining 480 frames are outside this result. Delivery still requires agreed acceptance.

Issues and recheck records

Issue groups summarize scope and corrections. Detailed records link each unit to its location, guideline clause and revision.

Road-image annotation batch — Issues and recheck records
Primary issueAffected unitsCorrectionRecheck result
Missing objects3 framesAdd objects and classes3 / 3 passed
Loose boundaries2 framesCorrect box boundaries2 / 2 passed
Occlusion inconsistency1 frameAlign the attribute to the guide1 / 1 passed

From the issue to the revision

Keep a reference chain for every correction so a reviewer can return to the same data unit. List unresolved issues separately and agree whether to rework, exclude or defer them.

  1. 01

    Locate

    Unit ID + issue location

    CAM-018
  2. 02

    Record

    Issue type + guideline clause

    ISSUE-006 / §4.2
  3. 03

    Correct

    Change + data revision

    r01 → r02
  4. 04

    Recheck

    Result + open issues

    RECHECK-006

04 / ACCEPTANCE & HANDOVER

Prepare the evidence with the data.

A handover includes more than data files. Bring guidelines, versions, review scope and outstanding items into one manifest for verification, reuse and traceability.

Suggested acceptance checks

  1. 01

    Scope and counts

    Check batch IDs, file counts, valid units and exclusions.

  2. 02

    Guidelines and versions

    Align task rules, class lists, revisions and export versions.

  3. 03

    Format and usability

    Check directories, fields, references and sample readability.

  4. 04

    Quality and issues

    State the review scope, calculations, rechecks and open issues.

  5. 05

    Receipt and acceptance

    Record receipt, outstanding items and the agreed acceptance result.

PROJECT ARRANGEMENTS

Agree access and retention at kickoff.

These are proposed topics for project planning. The actual arrangements depend on the agreement and the operating environment.

Access scope

Define project roles, accessible data, allowed actions and authorization periods.

Data handling

Confirm provenance and permitted use; agree handling and masking of sensitive fields.

Retention and handover

Agree transfer, retention, receipt checks and recorded disposition at project close.

QUESTIONS

Delivery questions, answered

01How are quality criteria agreed?

Define review units, dimensions, sampling coverage, thresholds and acceptance at kickoff, then calibrate the rules in a pilot. Each report records results within its stated scope.

02Does a passing sample mean the entire batch passes?

No. A sample conclusion has a defined scope and method. The Camera batch covers only 120 reviewed frames; its rate does not establish an individual pass for every unchecked frame.

03What happens when a recheck still fails?

Keep the unresolved issue and its affected scope visible, then follow the agreed process. The LiDAR batch shows a delivery hold. A project may continue rework or agree an exclusion or phased delivery.

04Can you work with our guidelines and quality tools?

First assess whether rules, fields, review methods and export formats can be aligned, then confirm with a pilot. Tool access, permissions and the processing scope need project-specific agreement.

05What files are included in a handover?

Deliverables usually include data or labels, rule versions, batch manifests, quality reports and issue records. Agree formats, directories and acceptance materials before production.

START WITH THE ACCEPTANCE CRITERIA

Align on acceptance before production.

Start with the data type, expected volume and an existing guideline to shape review criteria and batch delivery.