Help Wanted for CUHK03 Standard Evaluation Protocol

Repository metrics

Stars

330 stars (330 stars)

PR merge metrics

PR metrics pending (PR metrics pending)

Description

Contributor guide

Research direction

Locate the CUHK03 evaluation script in the repository (likely in `scripts/` or `evaluate.py`), then run it with the CUHK03 dataset following the README instructions.

Tech stack

pythonpytorch

Domain

computer visionmachine learning

Issue type

Documentation

DifficultyEstimated implementation difficulty for a new contributor, from 1 for very small changes to 5 for expert-level work.

1

Estimated timeA rough time range for an experienced contributor to investigate, implement, test, and prepare a pull request.

Under 1 hour

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.

Mostly clear

Prerequisites

PythonPyTorch

Newbie friendlinessA 1-100 score estimating how approachable this issue is for first-time contributors.

70