Went-Liang/UnSniffer

[CVPR 2023] Official Pytorch code for Unknown Sniffer for Object Detection: Don’t Turn a Blind Eye to Unknown Objects

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This project helps computer vision practitioners improve object detection systems by identifying both known objects and completely new, "unknown" objects within images. It takes raw image data and outputs bounding boxes and classifications for both familiar and novel items. Security analysts, automated inspection engineers, or anyone monitoring visual feeds for anomalies can use this.

No commits in the last 6 months.

Use this if your existing object detection models struggle to identify objects they were not specifically trained on, leading to missed detections of unexpected items.

Not ideal if you only need to detect a predefined set of objects and don't anticipate encountering novel items in your data.

computer-vision anomaly-detection object-detection security-monitoring automated-inspection
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 9 / 25
Maturity 16 / 25
Community 14 / 25

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Stars

76

Forks

10

Language

Python

License

Apache-2.0

Last pushed

Dec 30, 2023

Commits (30d)

0

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