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One of the big challenges with computer vision machine learning projects is performing training. Why is it challenging? Because historically it's been a very manual process thats time consuming and costly, but I've got some good news for you. You might be able to automate your training process with a new tool called Autodistill. Checkout this video to learn more.
Historically the cost of performing computer vision training has been expensive and often prohibitive but with Grounding Dino, you might be able to skip the training step. Watch this video to see how Grounding Dino, a Zero Shot Object Detector, performs object detection without custom training.
There are many interesting things you can do with computer vision, including detecting custom objects. In this video, we look at how to train a computer vision algorithm YOLOv8 to detect custom items.
One of the big challenges with computer vision machine learning projects is performing training. Why is it challenging? Because historically it's been a very manual process thats time consuming and costly, but I've got some good news for you. You might be able to automate your training process with a new tool called Autodistill. Checkout this video to learn more.
Historically the cost of performing computer vision training has been expensive and often prohibitive but with Grounding Dino, you might be able to skip the training step. Watch this video to see how Grounding Dino, a Zero Shot Object Detector, performs object detection without custom training.
There are many interesting things you can do with computer vision, including detecting custom objects. In this video, we look at how to train a computer vision algorithm YOLOv8 to detect custom items.
In the video, we showcase using Mycelial for edge-based computer vision, storing data locally and syncing it to the cloud (Snowflake), ensuring functionality even during network disruptions.
In this video you'll learn how to perform object detection using YOLOv8 and open-cv.
Clustered Indexes (WITHOUT ROWID optimization) are a special optimization you can make that could make your queries twice as fast and it could save on disk space as well. Check out this video to learn more about this optimization.
Database statistics provide information on value distributions within a database, aiding the management system in optimizing query performance. Watch this video to learn more.
SQLite doesn't have date and time datatypes, which begs the question, how do you deal with your date and time values? Want to learn more? Check out this video.
A Common Table Expression (CTE) in SQL is a temporary named result set from a SELECT statement, defined using the WITH clause, that simplifies complex queries and can enhance performance by minimizing repeated subqueries. Watch this video to learn more.
SQL window functions allow you to perform calculations on a set of rows that are related to the current row, without the need for self-joins or subqueries. They are used to perform a calculation across a set of table rows that are somehow related to the current row, in a way similar to aggregate functions. Want to learn more? Check out this video
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