Passionate data science and machine learning enthusiast with a strong background in statistics and programming. Experienced in developing end-to-end machine learning projects, from data collection and preprocessing to model training and deployment. Skilled in Python, Spark, SQL, and various machine learning frameworks such as Scikit-Learn and TensorFlow. Currently seeking opportunities to contribute to open-source projects and collaborate with like-minded individuals to tackle real-world problems with data-driven solutions.
kiniv-21 / auto-annotate Goto Github PK
View Code? Open in Web Editor NEWThis project forked from mdhmz1/auto-annotate
Auto-Annotate - Automatically annotate your entire image directory by a single command. As simple as saying - "Annotate all the street sign (label) in the autonomous car dataset (directory)" and BAM! DONE. Each and every image with a street sign in the diverse dataset directory containing images of all sorts which have a street sign are filtered and the segmentation annotation is performed in a single command. The Auto-Annotate tool provides auto annotation of segmentation masks for the objects in the images inside some directory based on the labels. Auto-Annotate is able to provide automated annotations for the labels defined in the COCO Dataset and also supports Custom Labels.
License: MIT License