🔍 Task Overview:
This task involves the meticulous annotation of DataSet-2, consisting of segmented video clips, utilizing CVAT (Computer Vision Annotation Tool). Our aim is to ensure high-quality data labeling for enhanced model training. 🎯
👥 Team Collaboration & Distributed Workload:
Collaborative Annotation: Engaged multiple team members in the annotation process to distribute the workload effectively. 🤝
CVAT Platform: Utilized CVAT for its advanced features and collaborative tools, allowing seamless team coordination. 💻
Segmented Videos: Focused on carefully annotated segmented video clips to ensure detailed and accurate labeling. 🎬
🚀 Goals & Progress:
Quality Assurance: Prioritized high accuracy in annotations to provide reliable data for training sophisticated models. 📈
Efficient Workflow: Established a streamlined workflow for team members to annotate, review, and validate data efficiently. ⏱️
📊 Outcome:
Successfully annotated a significant portion of DataSet-2 with high accuracy, contributing to the robustness of our training datasets. 🏆
Documented the annotation process and guidelines for future reference and consistency in team efforts. 📝
📌 DataSet-2 Images Annotation Using CVAT 🎞️
🔍 Task Overview: This task involves the meticulous annotation of DataSet-2, consisting of segmented video clips, utilizing CVAT (Computer Vision Annotation Tool). Our aim is to ensure high-quality data labeling for enhanced model training. 🎯
👥 Team Collaboration & Distributed Workload:
🚀 Goals & Progress:
📊 Outcome: