带标注信息的大块煤识别数据集下载,可识别大块煤,支持yolo,coco json,pascal voc xml格式,正确识别率77.6%

带标注信息的大块煤识别数据集,可识别大块煤,支持yolo,coco json,pascal voc xml格式,正确识别率77.6%

目录

标签:

数据集拆分

分辨率

增强

数据集图片

标注信息:

数据集下载:


标签:

coal

数据集拆分

训练集
705图片
验证集:
73图片
测试集
87图片

分辨率

分辨率640*640

增强

数据集图片

标注信息:

推理结果:

{

"predictions": [

{

"x": 331.5,

"y": 483,

"width": 59,

"height": 48,

"confidence": 0.824,

"class": "coal",

"class_id": 0,

"detection_id": "f069e457-b746-4808-960a-9fa8f60efaa0"

},

{

"x": 115.5,

"y": 70.5,

"width": 165,

"height": 119,

"confidence": 0.818,

"class": "coal",

"class_id": 0,

"detection_id": "5287da43-a0e0-411d-9be4-7be9cdb95383"

},

{

"x": 272.5,

"y": 36.5,

"width": 167,

"height": 73,

"confidence": 0.792,

"class": "coal",

"class_id": 0,

"detection_id": "3c0f93f5-32d8-4a3f-9636-2e32c287b0ab"

},

{

"x": 113,

"y": 269.5,

"width": 72,

"height": 65,

"confidence": 0.791,

"class": "coal",

"class_id": 0,

"detection_id": "a46dcc1d-60e5-4f6e-b471-1f79b5026d8b"

},

{

"x": 134.5,

"y": 372.5,

"width": 57,

"height": 51,

"confidence": 0.761,

"class": "coal",

"class_id": 0,

"detection_id": "25225b93-ae25-4d62-b0e5-1c72c2b790df"

},

{

"x": 449.5,

"y": 478,

"width": 89,

"height": 36,

"confidence": 0.74,

"class": "coal",

"class_id": 0,

"detection_id": "993fb1c5-8417-4e20-bf16-58e04d5f809a"

},

{

"x": 365.5,

"y": 221,

"width": 43,

"height": 28,

"confidence": 0.68,

"class": "coal",

"class_id": 0,

"detection_id": "d88d37b4-3ea2-435e-93f4-123dff8100df"

},

{

"x": 75.5,

"y": 405,

"width": 23,

"height": 28,

"confidence": 0.655,

"class": "coal",

"class_id": 0,

"detection_id": "18d1e296-f3f9-45a3-b6c1-c5ae1368e058"

},

{

"x": 450.5,

"y": 373.5,

"width": 47,

"height": 41,

"confidence": 0.653,

"class": "coal",

"class_id": 0,

"detection_id": "22c11212-9c19-41f8-a51b-14f3998c0955"

},

{

"x": 204.5,

"y": 449.5,

"width": 63,

"height": 35,

"confidence": 0.651,

"class": "coal",

"class_id": 0,

"detection_id": "f94a09c9-f8a8-4fff-bee1-5fa25531c9fa"

},

{

"x": 15.5,

"y": 420,

"width": 23,

"height": 26,

"confidence": 0.628,

"class": "coal",

"class_id": 0,

"detection_id": "8b1be669-8322-4741-a80e-02c476567fc0"

},

{

"x": 338,

"y": 288.5,

"width": 60,

"height": 37,

"confidence": 0.605,

"class": "coal",

"class_id": 0,

"detection_id": "9b5e387c-f775-4204-86dd-2e8fd3686363"

},

{

"x": 75.5,

"y": 311,

"width": 53,

"height": 46,

"confidence": 0.596,

"class": "coal",

"class_id": 0,

"detection_id": "19191e03-f6a3-4025-95a0-a29b94188fb2"

},

{

"x": 32.5,

"y": 396.5,

"width": 23,

"height": 23,

"confidence": 0.585,

"class": "coal",

"class_id": 0,

"detection_id": "2619e0df-f7f3-4f40-a90d-4e3b10abec54"

},

{

"x": 127.5,

"y": 538,

"width": 29,

"height": 38,

"confidence": 0.512,

"class": "coal",

"class_id": 0,

"detection_id": "1d5960ac-d391-4dbe-88df-c7dfa20abc50"

}

]

}

数据集下载:

yolo26:https://download.csdn.net/download/pbymw8iwm/92589733

yolo v12:https://download.csdn.net/download/pbymw8iwm/92589735

yolo v11:https://download.csdn.net/download/pbymw8iwm/92589734

yolo v9: https://download.csdn.net/download/pbymw8iwm/92589737

yolo v8:https://download.csdn.net/download/pbymw8iwm/92589732

yolo v7:https://download.csdn.net/download/pbymw8iwm/92589736

yolo v5:https://download.csdn.net/download/pbymw8iwm/92589730

coco json: https://download.csdn.net/download/pbymw8iwm/92589738

pascal voc xml: https://download.csdn.net/download/pbymw8iwm/92589739

yolo darknet:https://download.csdn.net/download/pbymw8iwm/92589731

相关推荐
大鱼>13 天前
地平线BPU部署实战:YOLOv8在J5/X3上的算法适配与性能优化
算法·yolo·性能优化
stsdddd13 天前
YOLO系列目标检测数据集大全【第二十九期】
yolo·目标检测·目标跟踪
大鱼>13 天前
YOLO边缘部署深度指南:从YOLOv8n到NPU加速的全链路优化
yolo·aiot
AI棒棒牛13 天前
第 03 讲《监督学习:数据、标签、Loss与训练循环》
人工智能·学习·yolo·目标检测·yolo26
FL162386312913 天前
国内快递面单识别检测数据集VOC+YOLO格式422张6类别
人工智能·yolo·机器学习
stsdddd13 天前
YOLO系列目标检测数据集大全【第三十期】
yolo·目标检测·目标跟踪
YOLO数据集集合13 天前
无人机航拍地质灾害智能识别 山体滑坡实例分割数据集落地实战 | 泥石流监测 道路险情封堵 深度学习模型训练方案10296期
人工智能·深度学习·yolo·目标检测·无人机
音沐mu.14 天前
【73】墙壁建筑缺陷数据集(有v5/v8模型)/YOLO墙壁建筑缺陷检测
yolo·目标检测·目标检测数据集·墙壁建筑缺陷数据集·墙壁建筑缺陷检测
前网易架构师-高司机14 天前
带标注的辣椒病叶数据集,识别率95.9%,可识别三种病害和健康叶子,9916张图,支持yolo,coco json,voc xml,文末有模型训练代码
yolo·json·数据集·病害·叶病·病叶·辣椒
动物园猫14 天前
直升机停机坪目标检测数据集分享(适用于YOLO系列深度学习分类检测任务)
深度学习·yolo·目标检测