Megvii-BaseDetection / Megvii-BaseDetection/YOLOX

数据集格式问题请教

Open
#899 4 comments 0 reactions 0 assignees View on GitHub

Nobody has claimed this yet.

Dominant language
Python
Stars
10.6k
Forks
2.5k
PR merge metrics
No merged PRs in 30d

Description

我当前有训练集和验证集,具体格式如下图所示,如何转成YOLOX可训练的数据格式?
image

其中,txt格式如下所示
class_id cx/w cy/h box_w/w box_h/h
0 0.510814878287011 0.33199194073677063 0.04678068331669093 0.12072434276342392

Contributor guide

No contributing guide indexed for this repository

First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

Research direction

The issue provides an image and one normalized TXT label example but names no repository files or tests. Start by checking the YOLOX documentation and dataset-loading guidance against the shown training and validation formats. Done means documenting whether this format is supported and giving a clear conversion procedure or identifying the required changes.

Written by the indexing model from the issue text.

Assessment

Tech stack
python
Domain
data, machine-learning
Issue type
Documentation
Difficulty
4/5
Estimated time
3-5 days
Activity status
Stale
Clarity
Needs clarification
Newbie friendliness
20/100

Get new issues in your inbox

A short digest of beginner-friendly GitHub issues.