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1 0.3088942307692308 0.008413461538461538 0.026442307692307692 0.015625
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1 0.47836538461538464 0.28846153846153844 0.015625 0.02403846153846154
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12 0.5240384615384616 0.5096153846153846 0.030048076923076924 0.021634615384615384
12 0.4987980769230769 0.5204326923076923 0.037259615384615384 0.025240384615384616
12 0.5216346153846154 0.4831730769230769 0.03365384615384615 0.02403846153846154
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12 0.4723557692307692 0.4723557692307692 0.027644230769230768 0.020432692307692308
4 0.21153846153846154 0.3245192307692308 0.028846153846153848 0.009615384615384616
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4 0.1201923076923077 0.06009615384615385 0.019230769230769232 0.009615384615384616
4 0.09615384615384616 0.49038461538461536 0.019230769230769232 0.021634615384615384
8 0.5685096153846154 0.6526442307692307 0.009615384615384616 0.006009615384615385
8 0.5961538461538461 0.75 0.009615384615384616 0.013221153846153846
15 0.5180288461538461 0.38221153846153844 0.006009615384615385 0.02403846153846154
15 0.5300480769230769 0.4026442307692308 0.008413461538461538 0.02283653846153846
15 0.6358173076923077 0.8629807692307693 0.010817307692307692 0.038461538461538464
15 0.42427884615384615 0.21033653846153846 0.01201923076923077 0.018028846153846152
2 0.6394230769230769 0.8617788461538461 0.009615384615384616 0.007211538461538462
2 0.640625 0.7692307692307693 0.006009615384615385 0.006009615384615385
2 0.6526442307692307 0.7920673076923077 0.007211538461538462 0.006009615384615385
2 0.6454326923076923 0.8040865384615384 0.006009615384615385 0.006009615384615385
2 0.7055288461538461 0.9939903846153846 0.007211538461538462 0.006009615384615385
2 0.6646634615384616 0.8725961538461539 0.007211538461538462 0.006009615384615385
2 0.6610576923076923 0.8125 0.006009615384615385 0.006009615384615385
没有合适的资源?快使用搜索试试~ 我知道了~
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YOLO与VOC格式的垃圾识别数据集,适用于YOLO系列、Faster Rcnn、SSD等模型训练,共18个类别,6004张图片。文件中包含图片、txt标签、指定类别信息的yaml文件、xml标签,已将图片和txt标签划分为训练集、验证集和测试集,可直接用于YOLOv5、YOLOv6、YOLOv7、YOLOv8、YOLOv9、YOLOv10等YOLO系列算法的训练。
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<数据集>垃圾识别数据集<目标检测> (2000个子文件)
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IMG_4969_JPG_jpg.rf.cc6f5876d1cad6f06876563ddf821601.txt 1KB
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000008_jpg.rf.190ad4a3070a285d72813d293ec26869.txt 987B
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000028_jpg.rf.5bb32fa95e5ff69cb005543a34e62fdd.txt 794B
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000088_jpg.rf.183c9ce7cc8d0b6d700e6d7834640d4d.txt 778B
000035_jpg.rf.51f6dc393596af618840b309fa12ce57.txt 768B
000048_jpg.rf.dcfa4a3ce88207f2e0109dcee8cf0c5f.txt 761B
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000095_jpg.rf.41ceeb9e01deac2c389a2a807e058337.txt 739B
000028_jpg.rf.c95d118ff62a86337ec78d721e35cdef.txt 734B
000051_JPG_jpg.rf.943858ad2a64bceaa7712e6afea29c49.txt 727B
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000051_JPG_jpg.rf.643554f73aa574770557e2c38f265a6f.txt 724B
000058_JPG_jpg.rf.75914ed19529b00095bb67ff75427991.txt 723B
000048_jpg.rf.dc76174c06c6ec7f0f4738112e455cd8.txt 722B
000084_jpg.rf.ae7f9a1d879d91a016332a9d551fcee7.txt 722B
000084_jpg.rf.b76c77d994379c024bd3715cdec51ab6.txt 722B
000057_jpg.rf.f2b9eb4d3c2e86b05b441085d10497b7.txt 716B
000058_JPG_jpg.rf.2dcdbffce88c4a68d8c5a8cdebb5932f.txt 716B
000058_JPG_jpg.rf.de9373c567d11474c253613763d0154d.txt 716B
000033_JPG_jpg.rf.ade9533f94173ebcee322fa882211154.txt 715B
共 2000 条
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