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OneFormer - SOTA Instance Segmentation with Detectron2 | Tutorial | Google Colab

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OneFormer is fresh segmentation model that earned 5x state-of-the-art badges from Papers with Code. Model managed to beat MaskFormer and Mask2Former and is now ranked number one in Instance, Semantic and Panoptic Segmentation. Take a look at our Google Colab tutorial and learn how to use it in your Computer Vision project.
Chapters:
0:00 Introduction
0:45 Semantic vs Instance vs Panoptic
1:38 Inference Demo
2:50 Setting up python environment
4:02 ADE20K Dataset
5:36 Cityscapes Dataset
6:23 COCO Dataset
7:15 Roboflow Notebooks
8:04 Measure size of the real life object using segmentation
16:55 Outro
Chapters:
0:00 Introduction
0:45 Semantic vs Instance vs Panoptic
1:38 Inference Demo
2:50 Setting up python environment
4:02 ADE20K Dataset
5:36 Cityscapes Dataset
6:23 COCO Dataset
7:15 Roboflow Notebooks
8:04 Measure size of the real life object using segmentation
16:55 Outro
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