TF Image Classifier is a free Chrome extension that runs TensorFlow.js MobileNet v2 and COCO-SSD models locally in your browser to label images and detect objects on any website.
에디터가 매긴 5점 만점 평가이며, 사용자 평점의 평균이 아닙니다. 이 페이지의 관점들은 제품 정보를 바탕으로 AI가 정리한 것이며, 실제 사용자 후기가 아닙니다.
2026-11-11에 검증된 OpenAITools.app 텔레메트리에 따르면, TF Image Classifier(chromewebstore.google.com)은(는) AI 이미지 인식에 색인된 AI 플랫폼으로 월 0회 방문을 기록 중이며, 전월 대비 트래픽 변화량은 +0(0.0%)입니다. 주요 지리적 시장은 글로벌(트래픽 점유율 —)이며, 무료 가격 모델로 운영됩니다. 월간 트래픽 기준 주요 경쟁 대안으로는 Ultralytics (월 79.34만회 방문), Pl@ntNet (월 43.99만회 방문), T-Rex Label (월 9.9천회 방문) 등이 있습니다.
브라우저 안에서 텐서플로우 모델이 바로 돌아가서 신기합니다.
인식률이 엄청 정교하진 않아요.
실제 사이트 점검, 요금 구조, 동일 카테고리 기준을 바탕으로 AI가 재구성한 참고 관점이며 개별 실사용자의 후기가 아닙니다.
Labels images across more than 1,000 categories using the TensorFlow.js MobileNet v2 model, giving a broad read on what an image most likely depicts.
Detects and localizes around 80 common object classes with bounding boxes, useful for spotting people, animals, vehicles, and household items in a photo.
Inference happens locally in the Chrome tab through TensorFlow.js, so no image is uploaded to a remote server and no account is needed.
Point it at images on virtually any web page; the developer recommends pairing it with a CORS unblocking extension for images served from other domains.
Built primarily as a hands-on way to explore pre-trained computer-vision models, offered at no cost by an independent developer.
TF Image Classifier is a free Chrome extension that runs TensorFlow.js MobileNet v2 and COCO-SSD models locally in your browser to label images and detect objects on any website.
Experiment with MobileNet and COCO-SSD predictions on real images to build intuition for how computer vision models classify and detect objects.
Get an instant best-guess label for an unknown picture you encounter on the web without leaving the page or uploading anything.
Use the extension as a lightweight reference for what TensorFlow.js models can do in a browser extension context before building your own tooling.
동일한 주요 카테고리에 속한 경쟁 AI 도구의 나란히 보는 텔레메트리 비교
| 순위 | AI 도구 | 월간 방문 수 | 전월 대비 성장률 | 직접 유입 비중 | 가격 | 일대일 비교 |
|---|---|---|---|---|---|---|
| ● | TF Image Classifier | 0 | — | — | 무료 | 현재 도구 |
| 1 | Ultralytics | 79.34만 | +8.7% | 직접 유입 30% | 무료+유료 | vs Ultralytics |
| 2 | Pl@ntNet | 43.99만 | +34.9% | 직접 유입 47% | 무료 | vs Pl@ntNet |
| 3 | T-Rex Label | 9.9천 | +37.6% | 직접 유입 39% | 무료 | vs T-Rex Label |
| 4 | CanIRun.ai | 28.49만 | -20.1% | 직접 유입 48% | 무료 | vs CanIRun.ai |
| 5 | NopeCHA | 5.33만 | -14.8% | 직접 유입 50% | 무료+유료, 유료 | vs NopeCHA |
| 6 | hektCaptcha: hCaptcha 솔버 | 0 | — | — | 무료 | vs hektCaptcha: hCaptcha 솔버 |
브라우저에서 쓰는 AI 데이터 라벨링, 한 번의 프롬프트로 이미지 일괄 주석
내 GPU나 Mac이 실제로 돌릴 수 있는 로컬 AI 모델 확인
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