Bacterial　infections　can　easily　occur　when　patients　mishandle　wounds　or　eat　moldy　food.　The　prompt　diagnosis　of　a　bacterial　infection　could　effectively　reduce　the　risk　of　possible　anatomical　damage.　However,　non-invasive　early　detection　of　bacterial　infections　is　difficult　to　achieve　due　to　the　lack　of　favorable　tools.　Here,　we　designed　two　hNQO1　fluorescent　probes　(RX2　and　RX3)　to　visualize　bacterial　infection　after　deep　learning　on　the　pathogenesis　of　bacterial　infection.　RX2　and　RX3　enable　early　detection　of　bacterial　infection　and　are　verified　to　be,　respectively,　suitable　for　fluorescence　imaging　(FLI)　and　photoacoustic　imaging　(PAI)　by　comparing　the　signal-to-background　ratio　of　both　probes　in　a　mouse　model　of　myositis　caused　by　Escherichia　coli　infection.　In　view　of　the　difference　in　penetration　depth　between　the　two　imaging　modalities,　we　further　applied　RX2　for　FLI　of　E.　coli-infected　wounds　and　RX3　for　PAI　of　E.　coli-infected　inflammatory　bowel　disease,　suggesting　the　great　potential　of　both　probes　for　early　diagnosis　of　bacterial　infections.