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FastAPI wrapper for recognize-anything image recognition models

Hacker News

FastAPI wrapper for recognize-anything image recognition models

I've been experimenting with the recognize anything models from https://github.com/xinyu1205/recognize-anything and ended up writing a simple HTTP API around them using FastAPI, packaged into an offline-capable docker image on Dockerhub ( https://hub.docker.com/r/mnahkies/recognize-anything-api ). This made it convenient to run inference across all my photos, and create a web app to search / browse them by tag/content (I plan to tidy this up and release it too).

Visit product View on Hacker NewsFeb 25, 2024

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Product HuntOn track for Day 1 leaderboard · Strong signals: model, dock, models · Missing: mac, agents, macos

68%68% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting

57%57% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

TrustMRRFits verified-revenue profile · Missing: mobile apps, ios, personal

54%54% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Hacker NewsStrong engagement from HN community · Strong signals: io · Missing: https docs, excited, just released

50%50% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive

46%46% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

14%14% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto

7%7% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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