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  • Category : AI-NN-PR
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  • Update : 2017-02-14
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Introduction - If you have any usage issues, please Google them yourself
After the neural network is introduced, it is becoming faster and more accurate detection frame. However, most detection methods is limited by the small number of objects. Testing and training on joint training data object detector for detecting an image tag to learn precise positioning, while using image classification to increase vocabulary and robustness. YOLOv2 detector generates the original YOLO system ImageNet more than in the 9000 class of data and test data COCO, the consolidated data sets and joint training YOLO9
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LICENSE
Makefile
cfg
...\alexnet.cfg
...\cifar.cfg
...\cifar.test.cfg
...\coco.data
...\combine9k.data
...\darknet.cfg
...\darknet19.cfg
...\darknet19_448.cfg
...\extraction.cfg
...\extraction.conv.cfg
...\extraction22k.cfg
...\go.test.cfg
...\gru.cfg
...\imagenet1k.data
...\imagenet22k.dataset
...\jnet-conv.cfg
...\msr_152.cfg
...\msr_34.cfg
...\msr_50.cfg
...\rnn.cfg
...\rnn.train.cfg
...\strided.cfg
...\t1.test.cfg
...\tiny-yolo-voc.cfg
...\tiny-yolo.cfg
...\tiny.cfg
...\vgg-16.cfg
...\vgg-conv.cfg
...\voc.data
...\writing.cfg
...\yolo-voc.cfg
...\yolo.cfg
...\yolo9000.cfg
...\yolov1
...\......\tiny-coco.cfg
...\......\tiny-yolo.cfg
...\......\xyolo.test.cfg
...\......\yolo-coco.cfg
...\......\yolo-small.cfg
...\......\yolo.cfg
...\......\yolo.train.cfg
...\......\yolo2.cfg
data
....\9k.labels
....\9k.names
....\9k.tree
....\coco.names
....\coco9k.map
....\dog.jpg
....\eagle.jpg
....\giraffe.jpg
....\goal.txt
....\horses.jpg
....\imagenet.labels.list
....\imagenet.shortnames.list
....\inet9k.map
....\labels
....\......\100_0.png
....\......\100_1.png
....\......\100_2.png
....\......\100_3.png
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....\......\102_0.png
....\......\102_1.png
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....\......\103_5.png
....\......\103_6.png
....\......\103_7.png
....\......\104_0.png
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....\......\104_4.png
....\......\104_5.png
....\......\104_6.png
....\......\104_7.png
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