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  • information-technology-english, wild-birds-english

Material of Gifu AI Study Group (1st meeting) 2025/3/23

1. Overview This page is prepared for reference at the Gifu AI Study Group (1st meeting) scheduled to be held on March 23, 2025 (Sunday). 2. Running the prediction process of the object detection model YOLO using Google Colab 2.1.…

  • fukagai
  • March 2, 2025
  • information-technology-english, wild-birds-english

Wild Birds in Toba River and Dodogamine, February 16, 2025

1. Overview These are pictures of wild birds taken on Sunday, February 16, 2025 at Dodogamine and Toba River. These photos were taken with a Sony Alpha 6000 digital camera and a SEL55210 telephoto lens. 6,000 x 4,000 pixels images…

  • fukagai
  • February 17, 2025
  • information-technology-english, wild-birds-english

Updated YOLO object detection model dataset to estimate bird type and location

1. Overview I recently created a dataset for a YOLO object detection model that estimates bird type and location using the procedure described on this page. The dataset has been updated with additional photos of other birds. 2. Adding Images…

  • fukagai
  • February 9, 2025
  • walking-english, wild-birds-english

January – February, 2025 Wild Birds in Toba River and Dodogamine

1. Overview These are photos of wild birds and other creatures taken at Toba River and Dodogamine near my house. These photos were taken with a Sony Alpha 6000 digital camera and a SEL55210 telephoto lens. 6,000 x 4,000 pixels…

  • fukagai
  • February 6, 2025
  • information-technology-english, wild-birds-english

Creating an object detection dataset using Label Studio with YOLO ML backend

1. Overview The dataset was created by annotating photographs of wild birds taken at the Toba River near my house with object detection annotations. The type of birds photographed and the rectangular areas surrounding them are annotated. Label Studio was…

  • fukagai
  • February 2, 2025
  • information-technology-english

Running Ultralytics YOLO with GPU in PyCharm on Windows 11

1. Overview I recently installed PyCharm on Windows 11 and debugged and ran Ultralytics YOLO as described here. I ran the program on a laptop LIFEBOOK WU2/D2, which does not have a GPU. This time, I ran it on an…

  • fukagai
  • October 17, 2024
  • information-technology-english

Debugging Ultralytics YOLO with PyCharm on Windows 11

1. Overview I installed PyCharm on Windows 11 and debugged and ran Ultralytics YOLO. This time, I checked on a laptop LIFEBOOK WU2/D2 without GPU. Note: Click on the images on this page to view them as larger, clearer images.…

  • fukagai
  • September 29, 2024
  • information-technology-english

Train Ultralytics YOLOv8 Object Detection Network with converted BIRDS 525 dataset on Google Colab

1. Overview I tested the operation of training the YOLOv8 object detection network with converted BIRDS 525 dataset described on this page using the free version of Google Colab. Although the free version of Google Drive is limited to 15…

  • fukagai
  • September 22, 2024
  • information-technology-english

Using Ultralytics YOLO with Google Colab

1. Overview I am considering starting an AI study group near Gifu station around March 2025. I would like to hold a study session once a month as a hobby, not only for AI, but also for programming and other…

  • fukagai
  • September 18, 2024
  • information-technology-english

Running Ultralytics Segmentation on Ubuntu 22.04 with WSL2

1. Overview I executed Ultralytics Segmentation on Ubuntu 22.04 using WSL2 on Windows 11. Unlike Object Detection, Segmentation detects not only the rectangular area around the object, but also the boundaries along the shape of the object. This time, I…

  • fukagai
  • September 15, 2024
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