Smart Labeling Service for Object Detection
A 7-step HPC-backed pipeline for few-shot object detection — from interactive image annotation through class support generation, proposal visualization, and Tapis-powered job execution — built to work across any research domain. Also includes a dedicated Semantic Segmentation pipeline for polygon and pixel-mask annotation with SAM3-assisted labeling.
Link to the hosted service: https://icicleai.tapis.io/#/smart-labeler
References
- Tapis v3 — HPC job execution framework
- Patra Model Registry — ICICLE AI model catalog
- SAHI — Slicing Aided Hyper Inference for small-object detection
- COCO JSON format specification
Acknowledgements
National Science Foundation (NSF) funded AI institute for Intelligent Cyberinfrastructure with Computational Learning in the Environment (ICICLE) (OAC 2112606)
Issue reporting
Please open an issue at github.com/ICICLE-ai/smart_labeler/issues with a description of the problem, steps to reproduce, and any relevant logs from the Tapis job status bar.