From a0b24eccfae2973a47a40a635fd4790f2a8727fa Mon Sep 17 00:00:00 2001 From: micaelakaplan <32578813+micaelakaplan@users.noreply.github.com> Date: Thu, 19 Sep 2024 10:54:05 -0400 Subject: [PATCH] Update README_TIMELINE_LABELS.md Update link for video for video temporal classification in README_TIMELINE_LABELS --- label_studio_ml/examples/yolo/README_TIMELINE_LABELS.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/label_studio_ml/examples/yolo/README_TIMELINE_LABELS.md b/label_studio_ml/examples/yolo/README_TIMELINE_LABELS.md index 4df8b4a6..fe89f237 100644 --- a/label_studio_ml/examples/yolo/README_TIMELINE_LABELS.md +++ b/label_studio_ml/examples/yolo/README_TIMELINE_LABELS.md @@ -29,8 +29,8 @@ to tailor the model to their specific use cases or use this model as a foundatio In trainable mode, you'll begin by annotating a few samples by hand. Each time you click **Submit**, the model will retrain on the new annotation that you've provided. Once the model begins predicting your trained labels on new tasks, it will automatically populate the timeline with the labels that it has predicted. You can validate or change these labels, and updating them will again retrain the model, helping you to iteratively improve.