1 0.427083 0.514706 0.018382 0.029412
1 0.469363 0.547488 0.026961 0.026961
1 0.480392 0.542433 0.029412 0.029718
1 0.689951 0.008425 0.025327 0.01685
1 0.565359 0.283548 0.038399 0.011949
1 0.583129 0.315257 0.01348 0.026961
1 0.522263 0.287531 0.015931 0.023591
0 0.374387 0.768076 0.03799 0.033701
54 0.693832 0.023744 0.020833 0.013787
54 0.644199 0.055913 0.026144 0.02114
54 0.715074 0.02114 0.032271 0.018995
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54 0.674632 0.04902 0.016748 0.010417
54 0.691176 0.052543 0.025327 0.012561
54 0.627451 0.127451 0.011438 0.010417
54 0.662582 0.125766 0.017974 0.011336
54 0.625204 0.150888 0.014297 0.011336
54 0.59906 0.162224 0.011029 0.006434
54 0.62643 0.170956 0.008578 0.006127
54 0.607843 0.203431 0.018791 0.012255
54 0.582925 0.18367 0.00817 0.007047
54 0.555964 0.314032 0.035948 0.01348
54 0.569036 0.328891 0.031046 0.008885
54 0.578431 0.36106 0.023693 0.008272
54 0.626225 0.34758 0.005719 0.007047
54 0.81107 0.261489 0.028186 0.0144
54 0.709967 0.566483 0.020425 0.015319
54 0.57741 0.48223 0.014297 0.016544
54 0.62643 0.251532 0.011029 0.010417
54 0.390319 0.6803 0.037173 0.022365
54 0.40482 0.588695 0.00817 0.006434
54 0.470792 0.422794 0.027369 0.021446
54 0.450572 0.582108 0.043301 0.027574
54 0.479779 0.579657 0.014297 0.011642
54 0.589257 0.482537 0.01348 0.009191
54 0.577614 0.449908 0.004902 0.006434
54 0.431985 0.491422 0.011846 0.01777
25 0.308211 0.780944 0.015931 0.012868
54 0.305147 0.844056 0.026961 0.028186
54 0.410948 0.620251 0.012255 0.013174
54 0.436479 0.529565 0.016748 0.005821
54 0.510825 0.451287 0.029003 0.022059
25 0.318423 0.900429 0.028186 0.014093
54 0.226103 0.952665 0.01348 0.011336
25 0.299837 0.822917 0.014706 0.011029
54 0.411969 0.682138 0.007761 0.023591
54 0.363358 0.690104 0.011029 0.012561
54 0.327819 0.861213 0.009395 0.015931
54 0.335376 0.778186 0.031046 0.023284
54 0.330065 0.841299 0.010621 0.007353
54 0.320261 0.829657 0.006536 0.007966
54 0.460784 0.436275 0.012255 0.00674
54 0.382557 0.716912 0.032271 0.018995
54 0.376634 0.730392 0.019608 0.012868
54 0.354779 0.761949 0.006944 0.009191
54 0.364583 0.735141 0.010212 0.008885
54 0.388072 0.74617 0.029412 0.01685
54 0.319444 0.818627 0.008987 0.008578
54 0.361928 0.843903 0.010621 0.013174
54 0.324346 0.913909 0.01634 0.012255
54 0.342933 0.916207 0.015931 0.01685
54 0.280637 0.978554 0.015523 0.009191
54 0.273284 0.990502 0.013889 0.011029
16 0.648489 0.10432 0.018382 0.011949
35 0.629493 0.181679 0.035131 0.017157
32 0.723652 0.007047 0.046977 0.014093
35 0.519404 0.352788 0.024918 0.019914
35 0.543096 0.48606 0.024101 0.018689
35 0.475694 0.507659 0.02982 0.022059
32 0.501225 0.519608 0.036765 0.025123
35 0.478554 0.484069 0.033088 0.023897
35 0.396446 0.655178 0.042075 0.02788
32 0.528186 0.471201 0.027778 0.020833
8 0.787173 0.323376 0.028595 0.009498
8 0.804943 0.206342 0.012663 0.015012
8 0.88031 0.060202 0.019608 0.01011
8 0.90482 0.490656 0.019608 0.022365
23 0.433211 0.651654 0.008578 0.006127
23 0.404412 0.748468 0.009804 0.01348
51 0.480596 0.3822 0.006127 0.024203
51 0.470588 0.40242 0.00817 0.022978
51 0.363766 0.863664 0.011029 0.038603
51 0.575163 0.210938 0.012255 0.017463
3 0.358864 0.860907 0.008578 0.00674
3 0.358252 0.770221 0.006536 0.004902
3 0.348652 0.79182 0.007761 0.006434
3 0.35335 0.803768 0.006536 0.006434
3 0.293913 0.993719 0.006944 0.006434
3 0.334967 0.874234 0.007353 0.005821
3 0.340074 0.813879 0.00531 0.005821
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项目包含污染物垃圾检测数据集60个类别(TACO垃圾识别),可直接用作目标检测数据集,无需额外处理。 图像背景为海滩、树林、道路等为背景的垃圾检测数据,总类别共60个,例如可乐罐、塑料袋等等 数据集介绍:分为训练集、测试集,总大小970MB 训练集:893张图片和893个标签txt文件组成 测试集:223张图片和223个标签txt文件组成 ***除此外,包含60个类别的txt文件*** 为了方便查看数据,提供了可视化py文件,随机传入一张图片即可绘制边界框,并且保存在当前目录。脚本无需更改,可以直接运行!
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计算机视觉之目标检测数据集:污染物垃圾检测数据集60分类(yolo标注格式的txt文件) (2000个子文件)
batch_8_000005.jpeg 2.59MB
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batch_15_000038.jpeg 2.39MB
batch_11_000019.jpeg 2.32MB
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batch_7_000004.jpeg 2.2MB
batch_15_000037.jpeg 2.17MB
batch_15_000041.jpeg 2.15MB
batch_14_000043.jpeg 2.07MB
batch_13_000047.jpeg 2.04MB
batch_12_000029.jpeg 2MB
batch_7_000003.jpeg 1.99MB
batch_11_000098.jpeg 1.99MB
batch_11_000059.jpeg 1.98MB
batch_11_000026.jpeg 1.96MB
batch_11_000025.jpeg 1.96MB
batch_12_000030.jpeg 1.91MB
batch_12_000032.jpeg 1.9MB
batch_13_000024.jpeg 1.87MB
batch_11_000021.jpeg 1.87MB
batch_12_000037.jpeg 1.87MB
batch_11_000066.jpeg 1.87MB
batch_13_000044.jpeg 1.86MB
batch_7_000012.jpeg 1.84MB
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batch_13_000003.jpeg 1.81MB
batch_12_000090.jpeg 1.8MB
batch_11_000061.jpeg 1.78MB
batch_15_000042.jpeg 1.77MB
batch_11_000055.jpeg 1.76MB
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batch_12_000000.jpeg 1.75MB
batch_11_000069.jpeg 1.74MB
batch_15_000003.jpeg 1.74MB
batch_13_000057.jpeg 1.73MB
batch_15_000039.jpeg 1.7MB
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batch_13_000042.jpeg 1.69MB
batch_13_000084.jpeg 1.68MB
batch_11_000024.jpeg 1.66MB
batch_2_000060.jpeg 1.66MB
batch_15_000036.jpeg 1.66MB
batch_14_000055.jpeg 1.65MB
batch_12_000035.jpeg 1.63MB
batch_11_000039.jpeg 1.63MB
batch_12_000057.jpeg 1.61MB
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batch_12_000002.jpeg 1.57MB
batch_14_000071.jpeg 1.56MB
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batch_15_000033.jpeg 1.55MB
batch_14_000088.jpeg 1.54MB
batch_14_000070.jpeg 1.53MB
batch_7_000106.jpeg 1.52MB
batch_11_000076.jpeg 1.52MB
batch_12_000075.jpeg 1.52MB
batch_13_000038.jpeg 1.52MB
batch_4_000063.jpeg 1.51MB
batch_2_000061.jpeg 1.51MB
batch_14_000037.jpeg 1.5MB
batch_12_000044.jpeg 1.5MB
batch_2_000065.jpeg 1.5MB
batch_13_000087.jpeg 1.49MB
batch_14_000090.jpeg 1.48MB
batch_12_000079.jpeg 1.48MB
batch_11_000048.jpeg 1.47MB
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batch_7_000068.jpeg 1.46MB
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batch_15_000007.jpeg 1.42MB
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batch_15_000009.jpeg 1.41MB
batch_12_000034.jpeg 1.41MB
batch_10_000001.jpeg 1.41MB
batch_13_000019.jpeg 1.39MB
batch_7_000141.jpeg 1.39MB
batch_7_000101.jpeg 1.39MB
batch_13_000078.jpeg 1.39MB
batch_5_000088.jpeg 1.39MB
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batch_12_000046.jpeg 1.38MB
batch_4_000073.jpeg 1.38MB
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batch_8_000070.jpeg 1.37MB
batch_11_000051.jpeg 1.37MB
batch_8_000038.jpeg 1.37MB
batch_5_000071.jpeg 1.36MB
batch_14_000093.jpeg 1.36MB
batch_13_000025.jpeg 1.36MB
batch_11_000094.jpeg 1.36MB
batch_11_000074.jpeg 1.36MB
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