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垃圾识别分割数据集labelme格式2937张75类别

bottle","Unlabeled litter","Normal paper","Paper cup","Plastic packaging","LDPE plastic","Glass bottle...","Metal bottle cap","Paper","Steel","Aluminium","Glass","Disposable plastic cup","Other plastic","Cigarette...","PET plastic","Carton","PP plastic","Plastic film","PS plastic","Drink carton","Plastic straw","Styrofoam...piece","Disposable food container","Other plastic wrapper","Plastic bottle cap","Single-use carrier...= 167 PP plastic count = 380 Plastic film count = 446 PS plastic count = 139 Drink carton count = 45

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Google Earth Engine（GEE） ——河流中管理不善的塑料垃圾数据集

Band 'MPW2060C' = MPW input in 2060 based on an 'improved plastic recycling and reduced plastic demand...Band 'FFPW2060B' = Potential plastic accumulation in 2060 based on an 'improved plastic recycling' scenario...Band 'FFPW2060C' = Potential plastic accumulation in 2060 based on an 'improved plastic recycling and...reduced plastic demand' scenario...."Leaving a plastic legacy: Current and future scenarios for mismanaged plastic waste in rivers."

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利用热图与径向条形图探索公司的塑料废物情况

"pvc"] total_by_company = ( data .groupby(["parent_company", "year"], dropna=True)[types_of_plastic..., # 需要转化的列，即types_of_plastic列表中的列 var_name="type" # 转化后的列名，注意原始列对应的值默认存在value列 )...].sum(axis=) # 计算各类型塑料废物比例 top_thirty[types_of_plastic] = top_thirty[types_of_plastic].apply(lambda ... in enumerate(types_of_plastic): # 获取当前塑料类型的数据 d = top_thirty[top_thirty["type"] == plastic...= ["hdpe", "ldpe", "o", "pet", "pp"] # 遍历塑料类型在轴上添加文本标签 for idx, plastic in enumerate(types_of_plastic

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水下塑料垃圾识别分割数据集labelme格式2703张6类别

(不包含mask文件，仅仅包含jpg图片和对应的json文件) 图片数量(jpg文件个数)：2703 标注数量(json文件个数)：2703 标注类别数：6 标注类别名称:["face_mask","plastic_bag...","plastic_bottle","plastic_waste","plastic_cup","globe"] 每个类别标注的框数： face_mask count = 67 plastic_bag...count = 1718 plastic_bottle count = 779 plastic_waste count = 946 plastic_cup count = 10 globe count

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垃圾塑料袋检测数据集VOC+YOLO格式993张4类别

993 标注数量(xml文件个数)：993 标注数量(txt文件个数)：993 标注类别数：4 标注类别名称(注意yolo格式类别顺序不和这个对应，而以labels文件夹classes.txt为准):["Plastic-Bag...","PlasticBag","plastic-bags","plastic_bag"] 每个类别标注的框数： Plastic-Bag 框数 = 400 PlasticBag 框数 = 87 plastic-bags...框数 = 467 plastic_bag 框数 = 228 总框数：1182 使用标注工具：labelImg 标注规则：对类别进行画矩形框重要说明：暂无特别声明：本数据集不对训练的模型或者权重文件精度作任何保证

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Google Earth Engine（GEE） ——从河流到海洋的塑料输入量数据集

River plastic emissions to the world’s oceans | Nature Communications Citation¶ lebreton, laurent; Reisser..., Julia (2018): Supplementary data for 'River plastic emissions to the world's oceans'. figshare....Dataset. https://doi.org/10.6084/m9.figshare.4725541 Earth Engine Snippet¶ var plastic = ee.FeatureCollection...("projects/sat-io/open-datasets/open-ocean/river_plastic_emissions"); print(plastic.toList(20)) function...addStyle) print(sampler.first()) Map.addLayer(sampler.style({styleProperty: 'styleProperty'}),{},'River Plastic

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常见编程语言对字符编码一览表

encodeURI 没有编码uri的保留字符 & ，'中'被编码成了 %uFFFD%uFFFD,encodeURIComponent 就编码了保留字符& alert(encodeURIComponent("A&T Plastic...")); //A%26T%20Plastic alert(escape("A&T Plastic")); //A%26T%20Plastic alert(encodeURI("A&T Plastic"...)); //A&T%20Plastic alert(escape("A&T Plastic中")); //A%26T%20Plastic%uFFFD%uFFFD 总结:编码方式的应用场景如果只是处理

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河道垃圾检测数据集VOC+YOLO格式2274张8类别

文件个数)：2274 标注数量(txt文件个数)：2274 标注类别数：8 标注类别名称:["ball","bottle","branch","grass","leaf","milk-box","plastic-bag...","plastic-garbage"] 每个类别标注的框数： ball 框数 = 55 bottle 框数 = 1599 branch 框数 = 420 grass 框数 = 180 leaf...框数 = 255 milk-box 框数 = 255 plastic-bag 框数 = 392 plastic-garbage 框数 = 199 总框数：3355 使用标注工具：labelImg

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垃圾可回收可降解有害垃圾检测数据集VOC+YOLO格式6019张10类别

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水面垃圾识别分割数据集labelme格式2111张8类别

mask文件，仅仅包含jpg图片和对应的json文件) 图片数量(jpg文件个数)：2111 标注数量(json文件个数)：2111 标注类别数：8 标注类别名称:["bottle","branch","plastic-garbage...","plastic-bag","leaf","grass","milk-box","ball"] 每个类别标注的框数： bottle count = 1733 branch count = 314 plastic-garbage...count = 250 plastic-bag count = 302 leaf count = 191 grass count = 275 milk-box count = 307 ball count

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着色器调用

例如，导入plastic着色器： import plastic; 着色器可以递归调用自己——在这种情况下，不需要 import 关键字。...例如，此代码调用plastic着色器，请求 Cf 导出并提供 diff 输入： import plastic; surface caller(vector diff = {1,0.5,0}) {...plastic("diff", diff, "Cf", Cf); } vcc 将检查所有传递给被调用着色器的可变参数，以确保它们与被调用着色器的参数列表中存在的参数或导出对应 - 如果类型或访问模式不匹配

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数据告诉你，垃圾回收动起来（只要开始，都不算晚）！

1g1 plastic_waste %>% 2 arrange(-total_population) %>% 3 ggplot(aes(gdp_per_capita,plastic_waste_per_capita...1g2 plastic_waste %>% 2 arrange(-total_population) %>% 3 mutate(pct_population_coastal = pmin(...Reference https://www.nationalgeographic.com/magazine/2018/06/plastic-planet-waste-pollution-trash-crisis...v=BRdLOYtJk9o&t=115s https://github.com/dgrtwo/data-screencasts/blob/master/plastic-waste.Rmd

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螺丝螺母检测数据集VOC+YOLO格式2100张13类别

,"Flange nut","Hexagon pillar","Keybar","Hexagon nut","Horizontal bubble","Hexagonal steel column","Plastic...Hexagon screw 框数 = 895 Hexagonal steel column 框数 = 920 Horizontal bubble 框数 = 897 Keybar 框数 = 945 Plastic...法兰螺母 Flange nut 圆头螺丝 Round head screw 六角螺母 Hexagon nut 弹簧垫圈 Spring washer 塑料垫柱 Plastic

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垃圾检测数据集VOC+YOLO格式6459张9类别

文件夹classes.txt为准):["aluminium wrap","cardboard","cigarette","general waste","glass","metal","paper","plastic...651 cigarette 框数 = 768 general waste 框数 = 1896 glass 框数 = 1579 metal 框数 = 1525 paper 框数 = 2790 plastic

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塑料瓶识别分割数据集labelme格式976张1类别

labelme格式(不包含mask文件，仅仅包含jpg图片和对应的json文件) 图片数量(jpg文件个数)：976 标注数量(json文件个数)：976 标注类别数：1 标注类别名称:["Trash plastic..."] 每个类别标注的框数： Trash plastic count = 4430 使用标注工具：labelme=5.5.0 标注规则：对类别进行画多边形框polygon 重要说明：可以将数据集用labelme

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机器人相关学术速递

representing indoor space, and an architecture for the software system are proposed. 【3】 New metal-plastic...摘要：Constructing precise micro-nano metal patterns on complex three-dimensional (3D) plastic parts allows...The present work demonstrates a process for the fabrication of micro-nano 3D metal-plastic composite...Selective 3D ELP processing of such parts provided various metal-plastic composite parts having complicated...The proposed method can also generate metal coatings exhibiting improved adhesion of metal to plastic

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塑料纸张垃圾袋检测数据集VOC+YOLO格式1.5w张3类别

txt文件) 图片数量(jpg文件个数)：15000 标注数量(xml文件个数)：15000 标注数量(txt文件个数)：15000 标注类别数：3 标注类别名称:[“garbage”,“paper”,“plastic...”] 每个类别标注的框数：类别名称框数garbage10062paper9967plastic9903总框数29932 使用标注工具：labelImg 标注规则：对类别进行画矩形框重要说明：暂无特别声明

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垃圾图像分类流程图yolov4-tiny_用python编写垃圾分类系统

other_garbage_cigarette', 'other_garbage_fast_food_box', 'other_garbage_flowerpot', 'other_garbage_soiled_plastic...', 'recyclables_plastic_hanger', 'recyclables_plug_wire', 'recyclables_plush_toys', 'recyclables_pot...other_garbage_cigarette', 'other_garbage_fast_food_box', 'other_garbage_flowerpot', 'other_garbage_soiled_plastic...', 'recyclables_plastic_hanger', 'recyclables_plug_wire', 'recyclables_plush_toys', 'recyclables_pot...other_garbage_fast_food_box recyclables_pot recyclables_cardboard recyclables_glass_cup recyclables_plastic_hanger

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可回收垃圾检测数据集VOC+YOLO格式2516张6类别近距离拍摄

2516 标注类别数：6 标注类别名称(注意yolo格式类别顺序不和这个对应，而以labels文件夹classes.txt为准):["cardboard","glass","metal","paper","plastic...","trash"] 每个类别标注的框数： cardboard 框数 = 407 glass 框数 = 501 metal 框数 = 415 paper 框数 = 591 plastic 框数 = 482

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无人机海洋沙滩海滩垃圾检测数据集VOC+YOLO格式2982张6类别

文件个数)：2982 标注数量(txt文件个数)：2982 标注类别数：6 标注类别名称(注意yolo格式类别顺序不和这个对应，而以labels文件夹classes.txt为准):["glass","plastic-bottle...retort-pouch","take-away-containers","takeaway-cup","tin-and-aluminum-cans"] 每个类别标注的框数： glass 框数 = 3043 plastic-bottle

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点击加载更多

垃圾识别分割数据集labelme格式2937张75类别

Google Earth Engine（GEE） ——河流中管理不善的塑料垃圾数据集

利用热图与径向条形图探索公司的塑料废物情况

水下塑料垃圾识别分割数据集labelme格式2703张6类别

垃圾塑料袋检测数据集VOC+YOLO格式993张4类别

Google Earth Engine（GEE） ——从河流到海洋的塑料输入量数据集

常见编程语言对字符编码一览表

河道垃圾检测数据集VOC+YOLO格式2274张8类别

垃圾可回收可降解有害垃圾检测数据集VOC+YOLO格式6019张10类别

水面垃圾识别分割数据集labelme格式2111张8类别

着色器调用

数据告诉你，垃圾回收动起来（只要开始，都不算晚）！

螺丝螺母检测数据集VOC+YOLO格式2100张13类别

垃圾检测数据集VOC+YOLO格式6459张9类别

塑料瓶识别分割数据集labelme格式976张1类别

机器人相关学术速递

塑料纸张垃圾袋检测数据集VOC+YOLO格式1.5w张3类别

垃圾图像分类流程图yolov4-tiny_用python编写垃圾分类系统

可回收垃圾检测数据集VOC+YOLO格式2516张6类别近距离拍摄

无人机海洋沙滩海滩垃圾检测数据集VOC+YOLO格式2982张6类别

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