我们高兴地宣布 Google-Landmarks,它是全世界最大的人造和自然地标识别数据集,希望这个工具能推动实例级识别的发展。Google-Landmarks 将作为地标识别和地标检索 Kaggle 挑战赛的一部分发布,这两个挑战赛将是 CVPR’18 Landmarks 专题讲座的重点。 地标识别挑战赛:https://www.kaggle.com/c/landmark-recognition-...
google-landmarks-dataset评分: 谷歌推出了目前世界上最大的人造和自然地标识别数据集Google-Landmarks。数据集中包含200万张图片,描述了3万处全球独特地标,量级是普通的数据集的30倍. google 数据集2019-04-14 上传大小:104.00MB 所需:50积分/C币
Google Landmarks Dataset v2 A Large-Scale Benchmark for Instance-Level Recognition and Retrieval Google Landmarks Dataset v2 A Large-Scale Benchmark for Instance-Level Recognition and Retrieval Google Landmarks Dataset v2 A Large-Scale Benchmark for Instance-Level Recognition and Retrieval ...
Google is bringing major landmarks to its Live View in Google Maps, making it easier than ever to navigate large cities around the world.
is the new "Immersive View" in Google Maps. Immersive View, as the name suggests, will allow you to get a better, more detailed look at a particular location in the Google Maps application. It's essentially a new way to experience what a location, landmark, or even a restaurant will ...
Description of issue (what needs changing) Unclear description of Landmarks "presence" output Clear description in https://developers.google.com/mediapipe/solutions/vision/pose_landmarker/python, we found the keywork "presence" in the la...
一直提示无法使用然后查找资料发现 是因为谷歌关闭了国内的谷歌翻译网页版translate.google.cn，因此连带着...
Hello, i'm trying to convert facelandmarks to 3d points in scenekit. Even with incorrect depth value face tracks correctly but it is not useful as occluder. because worldpoint is wrong. and face mesh always stays front of every sceneobje...
Hello, I found out about Mediapipe after seeing Google's blog post regarding hand tracking. Currently, I am working on using Mediapipe to build a cross platform interface using gestures to control multiple systems. I am using the Desktop...
This is the second version of the Google Landmarks dataset (GLDv2), which contains images annotated with labels representing human-made and natural landmarks. The dataset can be used for landmark recognition and retrieval experiments. This version of the