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识鱼 is a fish-identification web tool on sixi.site. According to the page copy, users can upload fish photos to identify the species, with support for JPG and PNG formats. The results section includes “Habits and Characteristics,” “Common Nicknames,” “Main Distribution Areas,” “Viewing Highlights,” and “Diving Tips.” The footer shows © 2024 DeepSea AI and notes that it is Powered by Gemini 1.5 Flash.
Based on the page information, 识鱼 combines image recognition with text generation: it first performs a “deep scan” of the uploaded fish image, then outputs explanatory information related to the fish. Rather than simply returning a species name, it adds practical context for diving and viewing scenarios, making the information structure more complete. The Chinese interface is clear, and the upload entry point is straightforward, making it suitable for quick use by non-specialists.
The captured page content does not disclose any free quota, trial limits, paid plans, payment methods, or account system, so its business model and long-term usage cost cannot be determined. The page also does not mention APIs, batch uploads, app integrations, or developer documentation. It appears more like a lightweight web tool for individual users than an enterprise-grade recognition platform.
Its advantages are a low barrier to use, support for common image formats, and result categories that fit fish observation, dive logging, and ornamental fish lookup needs. The use of Gemini 1.5 Flash also suggests multimodal model capabilities behind the product. The main limitation is insufficient disclosure: there is no information on accuracy, confidence scores, species coverage, data sources, image privacy policy, or error feedback mechanism. For blurry, occluded, low-light, or rare fish photos, users still need to verify the recognition results themselves.
It is suitable for divers, marine-life observers, aquarium photographers, and general users who want to quickly learn more about a fish. It should not be used as the sole basis for scientific research, law enforcement, or commercial identification. The source text does not provide information about access from mainland China, and since the underlying capability is marked as Gemini 1.5 Flash, actual availability may be affected by the network environment. No payment information is provided either. If access is unstable, alternatives include local fish field guides, general image-recognition tools, or other Chinese-language biological identification apps.
⚠ This review is compiled from public sources and does not constitute a purchase recommendation. Verify all facts on the vendor's official site. Verify on sixi.site official site.
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