Suhaib Ahmad

Key Skills

Software

Roboflow

Top Subject Matter

No subject matter listed

Top Data Types

Image

Top Label Types

Bounding Box

Classification

Object Detection

Freelancer Overview

I have hands-on experience in both image and text data labeling for AI training workflows. During my internship and professional work, I annotated images using bounding boxes and class labels for object detection datasets and performed dataset cleaning, validation, and relabeling to improve model accuracy. I evaluated model predictions (YOLO-based detection) and identified misclassifications and false positives, helping refine training data quality. I also worked on organizing structured datasets and ensuring consistency across large batches of labeled data.

Labeling Experience

Date Quality & Type Classification Dataset

RoboflowImageBounding BoxClassification

Labeled date images and video frames to classify quality grades and fruit types. Annotated individual dates using bounding boxes and assigned category labels for ripeness, defects, and variety. Extracted frames from video feeds and ensured consistent labeling across sequential frames. Maintained annotation accuracy by reviewing difficult cases such as clustered fruits, occlusions, and similar-looking categories. Prepared datasets suitable for training computer vision detection models.

Labeled date images and video frames to classify quality grades and fruit types. Annotated individual dates using bounding boxes and assigned category labels for ripeness, defects, and variety. Extracted frames from video feeds and ensured consistent labeling across sequential frames. Maintained annotation accuracy by reviewing difficult cases such as clustered fruits, occlusions, and similar-looking categories. Prepared datasets suitable for training computer vision detection models.

2024 - 2024

Vehicle Damage Detection Dataset Annotation

RoboflowImageBounding BoxClassification

Annotated vehicle images for damage detection including dents, scratches, broken lights, bumper damage, and glass cracks. Created bounding boxes and assigned class labels following predefined annotation guidelines. Reviewed dataset consistency and corrected overlapping or inaccurate annotations. Organized labeled data for object detection training and validated samples before model training. Performed quality assurance by rechecking edge cases such as low-light images, partial damage visibility, and motion blur frames to improve dataset reliability.

Annotated vehicle images for damage detection including dents, scratches, broken lights, bumper damage, and glass cracks. Created bounding boxes and assigned class labels following predefined annotation guidelines. Reviewed dataset consistency and corrected overlapping or inaccurate annotations. Organized labeled data for object detection training and validated samples before model training. Performed quality assurance by rechecking edge cases such as low-light images, partial damage visibility, and motion blur frames to improve dataset reliability.

2023 - 2024

Education

Work History