Dare Martins

Key Skills

Software

Appen

Labelbox

Telus

Top Subject Matter

No subject matter listed

Top Data Types

Audio

Image

Video

Top Task Types

Action Recognition

Audio Recording

Data Collection

Evaluation Rating

Translation Localization

Freelancer Overview

I have extensive experience in data labeling and AI training data, specializing in various projects that require meticulous attention to detail and a strong understanding of machine learning concepts. My background includes working on diverse datasets ranging from image and video annotation to text classification and sentiment analysis. I am proficient in utilizing labeling tools and platforms, ensuring high-quality and consistent data that meets project specifications. My ability to understand and implement best practices in data governance has allowed me to contribute effectively to projects aimed at enhancing model accuracy. One of my standout projects involved collaborating with a team to develop a robust dataset for a computer vision model designed to identify specific objects in traffic scenarios. This required not only comprehensive labeling skills but also the ability to coordinate annotations with multiple stakeholders, ensuring alignment on project goals.

Labeling Experience

Image Classification for E-commerce Products

LabelboxImageClassificationObject Detection

This project involved labeling a large dataset of product images for an e-commerce platform. The aim was to improve the accuracy of the product recommendation system by creating a highly classified dataset. I was responsible for annotating images to identify specific products, categorize them based on attributes (such as type, brand, and price range), and marking the boundaries of each product within the images. This included managing quality checks to ensure consistency across the dataset. My expertise in using Labelbox and EfficientDet facilitated efficient labeling and streamlined the workflow, significantly enhancing the model's training process.

This project involved labeling a large dataset of product images for an e-commerce platform. The aim was to improve the accuracy of the product recommendation system by creating a highly classified dataset. I was responsible for annotating images to identify specific products, categorize them based on attributes (such as type, brand, and price range), and marking the boundaries of each product within the images. This included managing quality checks to ensure consistency across the dataset. My expertise in using Labelbox and EfficientDet facilitated efficient labeling and streamlined the workflow, significantly enhancing the model's training process.

2024 - 2024

Image Annotation for Autonomous Vehicle Dataset

TelusImageSegmentationClassification

This project involved annotating a large dataset of images captured from various driving environments to enhance the capabilities of an autonomous vehicle system. The focus was on identifying and labeling objects such as pedestrians, vehicles, traffic signs, and road markings using bounding boxes and polygon segmentation. The dataset was used to train machine learning models to improve object detection accuracy and enhance overall safety in autonomous driving applications. Throughout the project, quality control measures were implemented to ensure annotation precision, and iterative feedback loops were established with the development team.

This project involved annotating a large dataset of images captured from various driving environments to enhance the capabilities of an autonomous vehicle system. The focus was on identifying and labeling objects such as pedestrians, vehicles, traffic signs, and road markings using bounding boxes and polygon segmentation. The dataset was used to train machine learning models to improve object detection accuracy and enhance overall safety in autonomous driving applications. Throughout the project, quality control measures were implemented to ensure annotation precision, and iterative feedback loops were established with the development team.

2023 - 2023

Education

Work History