Open Images是由谷歌发布的一个开源图片数据集,在2022年10月份发布了最新的V7版本。这个版本的数据集包含了900多万张图片,都有类别标记。其中190多万张图片有非常精细的标注:bounding boxes, object segmentations, visual relationships, localized narratives, point-level labels, and image-level labels. 具体来说,...
点级标签也是Open Images第一个标签类型，能对可数或是不可数物体提供定位资讯，研究人员提到，整体而言，新收集的标签资料相当于两年人工注解的工作量。经过Google的实验证实，点标签类型的稀疏资料，适合用于训练和评估分割模型，将模型直接使用点标签资料训练，可以获得与密集注解资料相当的模型品质。除了新的点标签资料...
Name of dataset: OpenImages v7 URL of dataset: https://g.co/dataset/open-images License of dataset: licensed by Google Inc. under CC BY 4.0 license. The images are listed as having a CC BY 2.0 license. Short description of dataset and us...
dataset_dir: dataset/OpenImagesV7 22 changes: 21 additions & 1 deletion 22 configs/yolov8/README.md Original file line numberDiff line numberDiff line change @@ -9,7 +9,7 @@ ## 模型库 ### 基础模型 ### 基础检测模型 | 网络网络 | 输入尺寸 | 图片数/GPU | 学习率策略 | TRT-FP16...
Explore the comprehensive Open Images V7 dataset by Google. Learn about its annotations, applications, and use YOLO11 pretrained models for computer vision tasks.
Open Images Dataset V7 and Extensions15,851,536 boxes on 600 classes2,785,498 instance segmentations on 350 classes3,284,280 relationship annotations on 1,466 relationships675,155 localized narratives66,391,027 point-level annotations on 5,827 classes...
- **mAP验证** 值适用于在[Open Image V7](https://docs.ultralytics.com/datasets/detect/open-images-v7/)数据集上的单模型单尺度。 通过 `yolo val detect data=open-images-v7.yaml device=0` 以复现。 - **速度** 在使用[Amazon EC2 P4d](https://aws.amazon.com/ec2/instance-types/p4/)实...
docker buildx create --use --name build --node build --driver-opt network=host docker buildx build -t snowdreamtech/openssh --platform=linux/386,linux/amd64,linux/arm/v6,linux/arm/v7,linux/arm64,linux/ppc64le,linux/riscv64,linux/s390x . --push Reference 使用buildx 构建多平台 Docker...