Image caption generation using transformer learning methods: a case study on instagram image
Multimedia Tools and Applications · Kwankamon Dittakan, Kamontorn Prompitak, Phutphisit Thungklang, Chatchawan Wongwattanakit
Image Analysis & Computer Vision
2023
Laberu: Collaborative Multi-user Data Labeling Platform
Laberu แพลตฟอร์มกำกับป้ายข้อมูลแบบทำงานร่วมกันหลายผู้ใช้
Laberu is a tool for building training datasets where many annotators label images in the same project at once, with bounding boxes and captions, at large scale.
About the project
Laberu is a web tool for building model training datasets, covering both object bounding boxes and image captions.
Key features
- Multi-user workspace — many annotators work in one project at the same time and can see who is on which item
- Concurrency control — items in progress are locked so work never overlaps
- Role-based access — separate permissions for project managers and annotators
- Progress tracking — per-person progress and workload
- Dataset export — export in formats ready for model training
Technologies
Web Application · Concurrency Control · Role-Based Access Control · Multi-format Data Export