• Kanawade Ankita
• Prof. P. D. Kale
• Mahajan Tanvi
• Shete Samrudhi
• Jadhav Shweta

Image annotation is a critical process in the preparation of datasets for machine learning and computer vision applications. This paper provides a comparative analysis of four popular image annotation tools: LabelImg, VGG Annotator, Label Studio, and Roboflow. Each tool is evaluated based on its features, ease of use, platform support, collaboration capabilities, supported data types, integration, customization, and scalability. The goal is to offer insights into the strengths and weaknesses of each tool to guide researchers and practitioners in selecting the most suitable tool for their specific needs.

Image Annotation Tools, LabelImg, VGG Annotator, Label Studio, Roboflow, Comparative Analysis, Computer Vision, Data Labeling, Collaboration, Customization, Integration, Boundary Box, Object Detection.

"Comparative Analysis of Image Annotation Tools: LabelImg, VGG Annotator, Label Studio, And Roboflow", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 5, page no.n398-n403, May-2024, Available :http://www.jetir.org/papers/JETIR2405D59.pdf

"Comparative Analysis of Image Annotation Tools: LabelImg, VGG Annotator, Label Studio, And Roboflow", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 5, page no. ppn398-n403, May-2024, Available at : http://www.jetir.org/papers/JETIR2405D59.pdf