Mastering Custom Object Detection: Training Models with ANSTS (Step-by-Step Guide)

In this tutorial, we’ll take you step-by-step through the process of training a custom object detection model using ANS Model Training Studio (ANSTS), with a real-world example of dental health inspections.

Whether you’re a beginner or experienced with AI, ANSTS offers a streamlined way to build, label, and train your model for various applications like healthcare, security, or any custom object detection needs.

What You'll Learn:
1. Setting up a new project and loading datasets in ANSTS
2. How to verify and label your dataset, including using formats like YOLO, Pascal VOC, and JSON
3. Using the ANSTS Labeling Tool for efficient image annotation
4. Sending labeled data to the training engine
5. Configuring model training parameters for speed vs. accuracy
6. Monitoring training progress and reviewing performance in real-time
7. Evaluating, optimizing, and exporting your trained model for GPU and CPU inference
8. Testing the model with image sources, including live camera streams

By the end of this video, you’ll have a solid understanding of how to train custom object detection models using ANSTS and will be ready to apply it to your own projects!

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