AI Football Data Analysis: Instance Segmentation Methods Using V7 (Part 1)
14Part 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
This 3-part tutorial on AI football data analysis covers instance segmentation, a critical tool for football match analysis. With this video series, you'll learn how to use instance segmentation with V7 to precisely identify and track players on the field, generating accurate data and insights. This tutorial will guide you through the nuances of instance segmentation and demonstrate how it can be a game-changer for football analysis.
Timestamps:
0:00 - Introduction
5:58 - V7 Labs & Darwin
7:15 - The Plan
8:33 - Creating a new Dataset
9:15 - Uploading files
10:50 - Dataset instructions
12:00 - Classes
16:59 - Workflows
22:44 - Outro
In this introductory segment, we will explore the field of instance segmentation and its significance in football data analysis. The tutorial will assist you in creating datasets, uploading files, generating classes, and setting up your training data workflows.
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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