filmov
tv
DETECTRON2 Custom Object Detection, Custom Instance Segmentation: Part 1 (Develop Custom Dataset)
![preview_player](https://i.ytimg.com/vi/ffTURA0JM1Q/maxresdefault.jpg)
Показать описание
Detectron2 custom object detection and custom instance segmentation tutorial. Training detectron2 on a custom dataset allows training on multiple tasks and models, such as MaskRCNN for instance segmentation and FasterRCNN for object detection. In this Detectron2 tutorial, we show how to prepare the dataset for detectron2 custom object detector and custom instance segmentation models. I am choosing to train a license plate detector with detectron2, you can choose any object of your preference.
** Dataset and code is available for our Patreon supporters**
---------------------------------------------
► Time Stamps:
Introduction: (0:00)
Download Data: (0:27)
Annotate Data: (2:22)
---------------------------------------------
► Links:
---------------------------------------------
Want to discuss more?
#TheCodingBug
---------------------------------------------
► My Other Tutorials:
○ Install TensorFlow Under 90 Seconds
○ Install PyTorch Under 90 Seconds
---------------------------------------------
---------------------------------------------
DISCLAIMER: Links included in this description might be affiliate links. If you purchase a product or service with the links that I provide I may receive a small commission. There is no additional charge to you!
** Dataset and code is available for our Patreon supporters**
---------------------------------------------
► Time Stamps:
Introduction: (0:00)
Download Data: (0:27)
Annotate Data: (2:22)
---------------------------------------------
► Links:
---------------------------------------------
Want to discuss more?
#TheCodingBug
---------------------------------------------
► My Other Tutorials:
○ Install TensorFlow Under 90 Seconds
○ Install PyTorch Under 90 Seconds
---------------------------------------------
---------------------------------------------
DISCLAIMER: Links included in this description might be affiliate links. If you purchase a product or service with the links that I provide I may receive a small commission. There is no additional charge to you!
Комментарии