Outline Basic CV Task

[bastienpo]

Image Classification @kaustubh-s1

• Overview of Image Classification
  • Introduction to the concept and importance of image classification in computer vision
  • Brief presentation of popular model (link to Vision Transformer section)
• Example Application of Image Classification
• Evaluation Metrics for classification (Multiclass, multilabel and unbalanced data)
  • Accuracy, Precision Recall, F1 score, Confusion matrix, ROC curve, AUC, MCC, Balanced accuracy
• Hands-on Notebook
  • Using pretrained ViT model with hugging dataset for image classification problem

Object Detection @sarthak247

• Overview of Object Detection
  • Introduction to object detection and its significance in computer vision.
  • Classification plus localization
• Brief presentation of popular model for object detection --> Detr
• Families of object detections approach
  • Single Stage: Presentation of YOLO
  • Two Stage: Presentation of Faster-RCNN
• Example Application in Object Detection
• Evaluation Metrics for Object detection
  • IoU (Intersection over Union) and mAP (Mean Average Precision)
• Hands-on Notebook
  • Using Detr for Object Detection

Image Segmentation @skower

• Overview of Image Segmentation
  • Explaining the concept
  • Brief presentation of popular segmentation model --> segment anything model (SAM)
• Type of segmentations
  • Semantic Segmentation
  • Instance Segmentation
  • Panoptic Segmentation
• Example Application in Object Detection
  • Applications in Autonomous Vehicles (AV), agriculture
• Evaluation Metrics for image segmentation
  • IoU, mIoU, pixel accuracy, jaccard index, dice coefficient
• Hands-on Notebook --> @adhiiisetiawan
  • Using SAM for Image Segmentation

Team Member: @skower @adhiiisetiawan @kaustubh-s1 @sarthak247

[ATaylorAerospace]

@skower This is a very comprehensive chapter. Thanks for posting te outline

[arindammajee]

Hey team, I think, Image Classification task is missing till now.

[adhiiisetiawan]

yap, our team member that handle it seems like busy. Feel free to contribute on that part, we are very welcome @arindammajee