From af1ec52c65ba395d81c87bc0c4b9125709aefb42 Mon Sep 17 00:00:00 2001 From: xiaofang007 <91191508+xiaofang007@users.noreply.github.com> Date: Tue, 29 Jul 2025 22:29:59 -0400 Subject: [PATCH 1/2] update linz and ugrc --- README.md | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/README.md b/README.md index 53022fc..1250dd2 100644 --- a/README.md +++ b/README.md @@ -285,10 +285,11 @@ Vehicle Detection in Aerial Imagery. Bounding box annotations * [pytorch-vedai](https://github.com/MichelHalmes/pytorch-vedai) ## Cars Overhead With Context (COWC) -Large set of annotated cars from overhead. Established baseline for object detection and counting tasks. Annotations in bounding box format +Large set of annotated cars from overhead. Established baseline for object detection and counting tasks. Annotations in bounding box formatr * http://gdo152.ucllnl.org/cowc/ * https://github.com/LLNL/cowc * [Detecting cars from aerial imagery for the NATO Innovation Challenge](https://arthurdouillard.com/post/nato-challenge/) +* [LINZ and UGRC](https://github.com/humansensinglab/AGenDA/tree/main/Data) ## AI-TOD & AI-TOD-v2 - tiny object detection The mean size of objects in AI-TOD is about 12.8 pixels, which is much smaller than other datasets. Annotations in bounding box format. V2 is a meticulous relabelling of the v1 dataset From ac37953cc1bbde53a317ee63b27cc403046b775e Mon Sep 17 00:00:00 2001 From: xiaofang007 <91191508+xiaofang007@users.noreply.github.com> Date: Tue, 29 Jul 2025 22:38:07 -0400 Subject: [PATCH 2/2] update linz and ugrc --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index 1250dd2..1e0ee3f 100644 --- a/README.md +++ b/README.md @@ -285,7 +285,7 @@ Vehicle Detection in Aerial Imagery. Bounding box annotations * [pytorch-vedai](https://github.com/MichelHalmes/pytorch-vedai) ## Cars Overhead With Context (COWC) -Large set of annotated cars from overhead. Established baseline for object detection and counting tasks. Annotations in bounding box formatr +Large set of annotated cars from overhead. Established baseline for object detection and counting tasks. Annotations in bounding box format * http://gdo152.ucllnl.org/cowc/ * https://github.com/LLNL/cowc * [Detecting cars from aerial imagery for the NATO Innovation Challenge](https://arthurdouillard.com/post/nato-challenge/)