description="This Space combines [GroundingDINO](https://huggingface.co/IDEA-Research/grounding-dino-base), a bleeding-edge zero-shot object detection model with [SAM](https://huggingface.co/facebook/sam-vit-base), the state-of-the-art mask generation model. SAM normally doesn't accept text ...
Grounding Dino + SAM, or Grounding SAM, uses Grounding DINO as an open-set object detector to combine with the segment anything model (SAM). This integration enables the detection and segmentation of any regions based on arbitrary text inputs and opens a door to connecting various vision models...
国外程序员大牛利用 GroundingDINO + SAM + OpenAI Vision API 实现全自动图像标注。 代码:https://github.com/roboflow/awesome-openai-vision-api-experiments… - GroundingDINO - 检测高级对象类别;在我们的例子中,“汽车” - Segment Anything (SAM) - 将边界框转换为像素完美的掩模 - GPT-4V - 添加精确...
GroundingDINO+SAM+SD WebUI 插件大更新,实现文字生成蒙版GroundingDINO+SAM+SD WebUI 插件大更新,实现文字生成蒙T-太白编辑于 2023年06月03日 16:55 大佬,重新安装了segment anything,设置也勾选了,还是用不了GroundingDINO,可以看看什么原因嘛分享至 投诉或建议...
因此基于 Transformer 的目标检测模型 DINO 和 Grounding 预训练结合了起来,同时使用多种数据:detection,grounding,和图像-文本对训练模型,使其拥有极强的开放集合检测能力。 将Grounding DINO 和多种不同的视觉基础模型组合了起来,使其拥有更强的能力。比如将 Grounding DINO 和 SAM 结合组成了 Grounded-SAM,使其...
SAM 是Mata发布的“Segment Anything Model”可以准确识别和提取图像中的对象。 它可以分割任何的图片，但是如果需要分割特定的物体，则需要需要点、框的特定提示才能准确分割图像。 所以本文将介绍一种称为 Grounding Dino 的技术来自动生成 SAM 进行分割所需的框。除了分割以外，我们还可以通过将 SAM 与 Grounding ...
Grounding DINO and SAM are powerful AI models that can assist in the dataset annotation process. Grounding DINO is capable of zero-shot detection of any object in the image, while SAM can convert these bounding boxes into instance segmentation masks. ...
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集成SAM,可以通过文本提示做检测/分割等任务。 我们计划通过结合 GroundingDINO和 Segment Anything 来创建一个非常有趣的演示,旨在通过文本输入检测和分割任何内容! 并且我们会在此基础上不断完善它,创造出更多有趣的demo。 我们非常愿意帮助大家分享和推广基于Segment-Anything的新项目,更多精彩的demo和作品请查看社区:...
Grounding DINO was employed for plant detection based on textual prompts, and bounding boxes were generated to locate the central plant in each image. The detected regions were then processed using SAM to extract precise segmentation masks of the plant crown. The segmentation results were validated ...