For anyone studying Quick Yolov5 segmentation tutorial in minutes: this guide focuses on implementing the yolov5x-seg model for instance segmentation. It details environment isolation and using dedicated scripts for pixel-level mask generation. #YoloV5

Blog: [https://eranfeit.net/quick-yolov5-segmentation-tutorial-in-minutes/](https://eranfeit.net/quick-yolov5-segmentation-tutorial-in-minutes/)
Video: [https://youtu.be/z3zPKpqw050?si=28h5BhkgfYpkfR_N](https://youtu.be/z3zPKpqw050?si=28h5BhkgfYpkfR_N)

Would you like a version that specifically mentions the Python and CUDA versions used in the environment setup?

Build custom segmentation models with YOLOv8 and SAM! 🚀

Full guide: https://eranfeit.net/segment-anything-tutorial-generate-yolov8-masks-fast/

Watch: https://youtu.be/8cir9HkenEY

#Ultralytics #SegmentAnything #AI

From zero to masks with Segment Anything: generate, annotate, sort by size, and inspect predictions in a clean Python pipeline using OpenCV + Supervision.
Read: https://eranfeit.net/segment-anything-tutorial-fast-auto-masks-in-python/

Watch: https://youtu.be/vmDs2d0CTFk?si=nvS4eJv5YfXbV5K7

Panoptic Segmentation with Detectron2: beginner-friendly walkthrough of how panoptic combines instance and semantic segmentation for full pixel-level scene understanding using Detectron2’s COCO panoptic model in Python.

Tutorial + code:
https://eranfeit.net/detectron2-panoptic-segmentation-made-easy-for-beginners/

YOLOv8 image classification tutorial 🌾🐛
Learn how to train a custom agricultural pests classifier — dataset prep, training, and inference on new images.

Full guide on Medium:
[https://medium.com/image-classification-tutorials/complete-yolov8-classification-tutorial-for-beginners-ad4944a7dc26](https://medium.com/image-classification-tutorials/complete-yolov8-classification-tutorial-for-beginners-ad4944a7dc26)

Turn YOLOv8 into a car image classifier, not just an object detector.
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In this step-by-step tutorial, a YOLOv8-CLS model learns 196 car classes from the Stanford Cars dataset and runs predictions on new images.
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Full tutorial + code 👉
https://eranfeit.net/yolov8-tutorial-build-a-car-image-classifier/
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Hi,
How to use the ViT model in Python for recognizing image categories.

Video explanation : https://youtu.be/zGydLt2-ubQ?si=2AqxKMXUHRxe_-kU

Blog for Medium users : https://medium.com/@feitgemel/build-an-image-classifier-with-vision-transformer-3a1e43069aa6

Written explanation with code: https://eranfeit.net/build-an-image-classifier-with-vision-transformer/

For educational purposes only.

Eran

How to Build a DenseNet201 Model for Sports Image Classification

Hi,
This tutorial walks through preparing a sports dataset, standardizing images, and encoding labels.

Written explanation with code: https://eranfeit.net/how-to-build-a-densenet201-model-for-sports-image-classification/
Video explanation: https://youtu.be/TJ3i5r1pq98

Eran

In this guide you will build a full image classification pipeline using Inception V3.

You can find link for the post , with the code in the blog : https://eranfeit.net/how-to-classify-525-bird-species-using-inception-v3-and-tensorflow/

Eran Feit