AI Football Data Analysis: Instance Segmentation Methods Using V7 (Part 2)
4Part 1: Preparing the dataset - https://youtu.be/5l3tT3i3Iq0
Part 2: Annotating players - https://youtu.be/zpor-YzpouY
Part 3: Training the model - https://youtu.be/X8N8KrbqYrQ
In this segment, we'll explore the practical side of AI football data analysis. We'll guide you through the process of annotating football payers and demonstrate the use of various tools available in the V7 platform to carry out instance segmentation effectively.
Timestamps:
0:00 - Introduction
0:15 - The Plan
0:48 - Annotating an Image
4:45 - The Auto-Annotate Tool
7:20 - Segment Anything Model annotation
12:14 - Image Manipulation settings
13:58 - Shortcuts
14:25 - Sending the Image to Review
16:30 - Filtering the Dataset Files
17:03 - Outro
This guide will show you how to use tools like the bounding box, polygon, brush, and Auto-Annotate. We'll also show you how to use the "Segment Anything" model for player annotation and guide you through image manipulation settings that improve your annotation experience.
Find out more:
V7: https://go.v7labs.com/43shfxW
V7 Docs: https://docs.v7labs.com/
Apply for a Free V7 Education Account: https://go.v7labs.com/43yfgbG
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