In　order　to　classify　and　detect　the　suit　target　in　images　of　e-commerce　platform　accurately　and　quickly,　an　enhanced　deep　convolution　network　(DN-SSD)　was　proposed.　First,　three　main　frameworks　faster　region-convolutional　networks　(faster　R-CNN),　region-based　fully　convolution　network(R-FCN)　and　single　shot　muti-box　detection(SSD)　were　evaluated.　An　image　was　segmented　into　multiscale　sub-images　to　highlight　the　suit　target　based　on　the　SSD.　Secondly,　the　problem　of　small　target　recognition　was　solved　by　the　fusion　of　classification.　The　scene　adaptability　was　enhanced　by　increasing　number　of　negative　samples.　The　experimental　result　shows　that　the　algorithm　can　recognize　various　shapes　and　size　of　suit　targets　and　achieves　the　accuracy　over　90%.　The　method　can　also　be　generalized　to　other　style　of　dress　detection　and　location.　Copyright　No　content　may　be　reproduced　or　abridged　without　authorization.