Megvii-BaseDetection / Megvii-BaseDetection/YOLOX

obtaining mAP 0.75 score for voc format dataset training

Open
#1,617 5 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

Hi!

How can I get the mAP 0.75 score with eval.py on the test dataset from the best_ckpt.pth weight, when I train my custom dataset which has voc format?

Thanks

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

Start by reading eval.py and the repository documentation to understand how best_ckpt.pth and VOC-format test data are passed to evaluation. Reproduce the reported evaluation flow if the dataset and configuration are available; done would mean clear instructions or documentation for obtaining the mAP score on a custom VOC dataset.

Written by the indexing model from the issue text.

Assessment

Tech stack
python, pytorch
Domain
computer-vision, machine-learning
Issue type
Documentation
Difficulty
3/5
Estimated time
1-2 days
Activity status
Stale
Clarity
Needs clarification
Newbie friendliness
25/100

Get new issues in your inbox

A short digest of beginner-friendly GitHub issues.