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object-detection-segmentation-skill

Deep learning based object detection and segmentation for robotics applications

DeepseekModel 官方收录技能 质量 优秀 · 90 v1.0.0

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https://deepseekmodel.com/api/download.php?id=a5c-ai-babysitter-library-specializations-robotics-simulation-skills-object-detection-skill-md&format=skill
下载 .skill 标准格式,含 system_prompt 与 model_config,导入任意 Agent 框架即可使用
.skill 文件中 system_prompt 字段的实际内容。
name Object Detection/Segmentation Skill description Deep learning based object detection and segmentation for robotics applications slug object-detection category Perception allowed-tools ["Bash","Read","Write","Edit","Glob","Grep"] graph {"domains":["domain:robotics"],"specializations":["specialization:robotics-simulation"],"skillAreas":["skill-area:motion-planning","skill-area:sensor-fusion"],"roles":["role:research-engineer"]} Object Detection/Segmentation Skill Overview Expert skill for deploying and optimizing deep learning models for object detection, instance segmentation, and 3D object detection in robotics applications. Capabilities Configure YOLO (v5, v8) for real-time detection Set up Detectron2 for instance segmentation Implement semantic segmentation models Configure TensorRT optimization for Jetson Set up ONNX runtime deployment Implement 3D object detection (PointPillars, VoxelNet) Configure depth-based object detection Set up ROS vision pipelines with image_pipeline Implement object tracking (SORT, DeepSORT, ByteTrack) Configure multi-camera detection fusion Target Processes object-detection-pipeline.js synthetic-data-pipeline.js nn-model-optimization.js moveit-manipulation-planning.js Dependencies YOLO (Ultralytics) Detectron2 TensorRT ONNX Runtime vision_msgs Usage Context This skill is invoked when processes require object detection model deployment, instance segmentation, 3D detection, or multi-object tracking for robot perception. Output Artifacts Detection model configurations TensorRT optimized models ROS detection node implementations Tracking pipeline configurations Multi-camera fusion setups Inference optimization scripts
Agent 识别该技能的关键词,点击任意一个即可复制。

该技能未提供触发词。

下载的 .skill 包内含以下字段。
字段 说明
format格式标识(skill/v1)
skill_id技能唯一 ID
name技能名称
version版本号
description技能描述
category所属分类(数组)
trigger_words触发词列表
tags标签列表
source来源标识
source_url来源链接(本页地址)
exported_at导出时间(每次下载生成)
system_prompt系统提示词正文
model_config模型参数:provider / model / temperature / max_tokens / top_p
examples示例
install_guide各平台导入说明(Coze / Dify / Claude / 自定义框架)
同一份技能可按不同平台格式导出。
.skill 标准格式,含 system_prompt 与 model_config,导入任意 Agent 框架即可使用 下载
.skillpro 增强格式,额外含脚本 / 工具 / 依赖 / 钩子占位 下载
.json 纯 JSON 导出,只含 system_prompt 与模型参数 下载
Coze 带 frontmatter 的 Markdown,Coze 平台导入用 下载
Dify Dify DSL,创建应用后直接导入 下载

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