Chester D.

I'm a passionate Data Annotation specialist with eight years of experience in various annotation tasks, including Bounding Box, Polygon, Point, Broken Line, Keypoints, Instance/Semantic Segmentation, and Natural Language Annotation. I've worked on LiDAR tasks for self-driving cars and collaborated with multiple companies, platforms, and projects to advance Artificial Intelligence development. My expertise spans across diverse industries, ensuring high-quality data for machine learning models. I'm dedicated to precision and efficiency, constantly seeking innovative solutions to improve annotation processes. I've gained experience with a variety of specialized internal software programs and open-source tools for generating training datasets. ✔️Alegro ✔️Amazon sagemaker ground truth ✔️Boobs ✔️Colabeler ✔️CVAT ✔️Dataloop ✔️Imagetagger ✔️Gimp ✔️Google Cloud Platform ✔️G Studio ✔️LabelMe ✔️Labelbox ✔️Labelimg ✔️Label Studio ✔️Makesense ✔️Roboflow ✔️Segments(.)ai ✔️Superannotate ✔️Supervisely ✔️V7 Darwin ✔️VoTT ✔️VGG/VIA and others. 👉 (output format:JSON |JSON-MIN | COCO | TSV | CSV | TEXT (yolo) | XML (PascalVoc)| BD | CTNK | Tensorflow records | CONLL2003 ) I am knowledgeable in using FFMPEG for data conversion and changing the resolution of imagery. In this role, I managed a remote team of professionals. My responsibilities: - Assigning tasked work to remote workers via the cloud. - Answering questions for edge cases. - Reminding the workers about task deadlines - Collecting labeled datasets. - Reviewing labeled datasets. (Making sure that the labels & metadata are correct as per instructions. Assuring the quality and accuracy.) - Maintaining and Updating worksheets A Jack of all trades, self-motivated, hardworking, and a quick learner. I pride myself on providing the highest quality of work and fast delivery. If you need my help. Drop a message and let's discuss it!