From 6e5895a237f421afb9912b473291f7438a48a96a Mon Sep 17 00:00:00 2001 From: Dickson Neoh Date: Wed, 19 Jun 2024 09:17:46 -0700 Subject: [PATCH] Fix broken link on Github readme (#333) * update dino notebook link * link examples with annotation --- EXAMPLES.md | 126 ++++++++++++++++++++++++++++++++++++++++++++++++++++ README.md | 8 ++-- 2 files changed, 130 insertions(+), 4 deletions(-) diff --git a/EXAMPLES.md b/EXAMPLES.md index 1ce8aaf..240c900 100644 --- a/EXAMPLES.md +++ b/EXAMPLES.md @@ -1,3 +1,129 @@ +## Learn from Examples +Learn the basics of fastdup through interactive examples. View the notebooks on GitHub or nbviewer. Even better, run them on Google Colab or Kaggle, for free. + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
+ + + + + ๐Ÿงน Clean Image Folder: Learn how to analyze and clean a folder of images from potential issues and export a list of problematic files for further action. If you have an unorganized folder of images, this is a good place to start. +
+
+ ๐Ÿ“Œ Dataset: Food-101. + 		+ + + +
+ + + +
+ + + +
+ + + +
+ + + + + ๐Ÿ–ผ Analyze Image Classification Dataset: Learn how to load a labeled image classification dataset and analyze for potential issues. If you have labeled ImageNet-style folder structure, have a go! +
+
+ ๐Ÿ“Œ Dataset: Imagenette. + 		+ + + +
+ + + +
+ + + +
+ + + +
+ + + + + ๐ŸŽ Analyze Object Detection Dataset: Learn how to load bounding box annotations for object detection and analyze for potential issues. If you have a COCO-style labeled object detection dataset, give this example a try. +
+
+ ๐Ÿ“Œ Dataset: COCO. + 		+ + + +
+ + + +
+ + + +
+ + + +
+ ## Load Data From Sources The notebooks in this section show how to load data from various sources and analyze them with fastdup. diff --git a/README.md b/README.md index 1da4257..4ffa253 100644 --- a/README.md +++ b/README.md @@ -382,28 +382,28 @@ Learn the basics of fastdup through interactive examples. View the notebooks on ๐Ÿฆ– ONNX Embeddings: Bring your own ONNX model. In this example we extract feature vectors of your images using DINOv2 model. Runs on CPU. - + - + - + - +