EscVM / EscVM/OIDv4_ToolKit

Question on downloading image-level labels: how are negative examples handled?

Open
#87 0 comments 0 reactions 0 assignees View on GitHub
Dominant language
Python
Stars
837
Forks
634
PR merge metrics
No merged PRs in 30d

Description

First of all, thank you guys for your work! I am trying to download some images for an image-classification task and I'm wondering whether this tool handles negative examples. According to the OID website:

> Confidence: Labels that are human-verified to be present in an image have confidence = 1 (positive labels). Labels that are human-verified to be absent from an image have confidence = 0 (negative labels). Machine-generated labels have fractional confidences, generally >= 0.5. The higher the confidence, the smaller the chance for the label to be a false positive.

However I can't find any point in the code where the confidence value is checked. I would like to tinker with it so that the negative examples are downloaded into their own directory.

Contributor guide

No contributing guide indexed for this repository

Assessment

This issue has not been assessed yet.

Get new issues in your inbox

A short digest of beginner-friendly GitHub issues.