Tables

Acceptance Criteria

DELIVERABLES ACCEPTANCE Criteria

Label file

 A XML / CSV / JSON file with the labeled meta data in format decided by mutual discussion with VW or specified by VW

Annotated and Tagged images

SEMANTIC PIXEL LABELING:
1. At least 97% of the total pixels in the camera image are correctly annotated
2. At least 97% of the pixels of each individual an object are correctly annotated
3. Maximum distance between object contour in image and annotated object contour
BOUNDING BOXES:
1. Complete annotation of all objects and attributes according to class definition
2. Unique IDs for tracked objects for sequences
3. 2D and 3D bounding boxes in the camera image: maximum distance between bounding box and object contour: maximum 3 pixels and maximum 3% of the bounding box width or height
4. 3D Bounding Boxes in point clouds: Bounding Box bounding surfaces are congruent with the object bounding points in the point cloud

Subjective labeling of attributes

 This peculiar case of subjective labeling results shall be accepted by the mutual discussion

Temporal annotation

 The tolerance of ± 2 frames (200 msec) is accepted on both the start and stop time stamps

Productivity Report in terms of:
• Manual Rate
• Automation + Manual Rate

A report showcasing % of work processed:
- % of total data processed manually.
- % of total data processed with the combination of Automation & Manual Effort.

Process for the review

At every periodic milestone, there will be a feedback about the annotation and correction required in the same. There will be a revision check and correction phase from KPIT to improve output as per feedback. This constant interaction is expected to ensure as well as sustain the quality