facebookresearch / facebookresearch/segment-anything

The issue lies with the performance of the model.

Open
#499 4 comments 1 reaction 0 assignees View on GitHub
Dominant language
Jupyter Notebook
Stars
54.9k
Forks
6.4k
PR merge metrics
No merged PRs in 30d

Description

Hello, I am honored to reproduce your work. However, I encountered an issue during the reproduction process. I tried to use the automatic segmentation code and demo website provided in the official documentation to segment images from the autonomous driving KITTI dataset. I found that the results from the code and the demo website are completely different. The performance of the code seems to be poor. In the code, I set the number of sampling points to be 32*32 and used the VIT-H model. Below is an image showing the segmentation results. I am eagerly awaiting your response.

Contributor guide

Open the contributing guide

Research direction

Start by comparing the automatic segmentation code and demo website with the KITTI dataset, using the stated 32*32 sampling points and ViT-H model settings. Reproduce the differing segmentation results and determine which input or configuration causes the discrepancy; done means the difference is explained and the code and demo produce consistent results or the remaining limitation is documented.

Written by the indexing model from the issue text.

Assessment

Tech stack
jupyter-notebook
Domain
computer-vision, machine-learning
Issue type
Bug
Difficulty
4/5
Estimated time
3-5 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.