From 51e2f9e462e6d3c2fc369fb1754440e5650d452a Mon Sep 17 00:00:00 2001 From: Joseph Nelson Date: Thu, 3 Oct 2024 11:45:41 -0700 Subject: [PATCH 1/2] Update annotators.md included description of what annotators are; clarified how to use the visualization widget --- docs/detection/annotators.md | 6 ++++-- 1 file changed, 4 insertions(+), 2 deletions(-) diff --git a/docs/detection/annotators.md b/docs/detection/annotators.md index 9950bce3..72dcbd01 100644 --- a/docs/detection/annotators.md +++ b/docs/detection/annotators.md @@ -5,6 +5,8 @@ status: new # Annotators +Annotators accept detections and apply box or mask visualizations to the detections. Annotators have many available styles. + === "Box" ```python @@ -482,8 +484,8 @@ status: new
-

Try Supervision Annotators with your own images

- Detects COCO classes such as people, vehicles, animals, household items. +

Visualize Supervision Annotators on your own images

+ Note this visualization uses a COCO model (default detects classes such as people, vehicles, animals, household items) to visualize annotators. If annotators do not appear, your image may not found by the COCO model.
From f207eaca3117640718493c9a1b60a5cbd404a129 Mon Sep 17 00:00:00 2001 From: Joseph Nelson Date: Thu, 3 Oct 2024 13:29:14 -0700 Subject: [PATCH 2/2] Update annotators.md being concise is a virtue --- docs/detection/annotators.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/docs/detection/annotators.md b/docs/detection/annotators.md index 72dcbd01..e1071121 100644 --- a/docs/detection/annotators.md +++ b/docs/detection/annotators.md @@ -484,8 +484,8 @@ Annotators accept detections and apply box or mask visualizations to the detecti
-

Visualize Supervision Annotators on your own images

- Note this visualization uses a COCO model (default detects classes such as people, vehicles, animals, household items) to visualize annotators. If annotators do not appear, your image may not found by the COCO model. +

Try Supervision Annotators on your own image

+ Visualize annotators on images with COCO classes such as people, vehicles, animals, household items.