Image Annotation Specialist – Wastefy Project
OtherImageObject Detection
Developed and annotated a large-scale dataset of waste images to train an AI-powered waste detection system using YOLOv8. The task involved assigning object detection labels to over 10,000 annotated images for automated waste identification. High-quality labeled data contributed to improved model accuracy and real-world performance.
• Annotated images with bounding boxes to detect waste objects.
• Verified label accuracy and conducted quality assurance audits.
• Coordinated labeling standards with computer vision objectives.
• Integrated labeled datasets for model training and validation.
Developed and annotated a large-scale dataset of waste images to train an AI-powered waste detection system using YOLOv8. The task involved assigning object detection labels to over 10,000 annotated images for automated waste identification. High-quality labeled data contributed to improved model accuracy and real-world performance. • Annotated images with bounding boxes to detect waste objects. • Verified label accuracy and conducted quality assurance audits. • Coordinated labeling standards with computer vision objectives. • Integrated labeled datasets for model training and validation.
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