microsoft/cvbp

Update TAG to identify all objects in an image

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#2 opened on Sep 16, 2019

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enhancementgood first issuehelp wanted

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Description

Currently the TAG command will identify the dominant object in an image. Extend the command to identify all objects and out put each with certainty as now. A post-process can then choose the objects to retain.

Contributor guide

Research direction
Study the existing TAG command implementation in the repository to understand how it currently identifies the dominant object. Then design an extension to return all detected objects with confidence scores, possibly by modifying the underlying model inference script.
Tech stack
python
Domain
computer visionbackend
Issue type
Feature
DifficultyEstimated implementation difficulty for a new contributor, from 1 for very small changes to 5 for expert-level work.
3
Estimated timeA rough time range for an experienced contributor to investigate, implement, test, and prepare a pull request.
Half day
Activity statusHow available the issue appears right now: fresh, active, stale, blocked, or waiting on maintainer input.
Active
ClarityHow clearly the issue explains the expected change, acceptance criteria, and next step.
Clear
Prerequisites
Pythoncomputer vision basics
Newbie friendlinessA 1-100 score estimating how approachable this issue is for first-time contributors.
70