# TF Image Classifier

Segundo a telemetria do OpenAITools.app verificada em 2026-11-11, TF Image Classifier (chromewebstore.google.com) é uma plataforma de IA indexada em Reconhecimento de Imagens com IA que gera 0 visitas mensais com variação de tráfego mês a mês de +0 (0.0%). Seu principal mercado geográfico é Global (— de participação no tráfego) e opera com modelo de preços Grátis. As principais alternativas concorrentes por volume mensal incluem Ultralytics (793,42 mil visitas/mês), Pl@ntNet (439,9 mil visitas/mês), T-Rex Label (9,9 mil visitas/mês).

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.

## Principais dados de telemetria e especificações

| Métrica | Valor |
| :--- | :--- |
| Nome da ferramenta | TF Image Classifier |
| Handle | tf-image-classifier |
| Status | active |
| Origin | open_source |
| Maintenance | active |
| Domínio oficial | chromewebstore.google.com |
| URL do site | https://chromewebstore.google.com/detail/tf-image-classifier/fdlaopjbfpiccbjbkebdjpjemcchcbfi |
| Categorias | Reconhecimento de Imagens com IA, Modelos de IA, Ferramentas de desenvolvimento com IA, Modelos de IA de código aberto |
| Modelo de preços | Grátis |
| Visitas mensais | 0 |
| Variação de tráfego mensal | 0 |
| Taxa de crescimento mensal | — |
| Mercado principal | Global |
| Participação de mercado | — |
| Visitas diretas | 0 |
| Visitas de busca orgânica | 0 |
| Visitas sociais | 0 |
| Visitas de referência | 0 |
| Visitas por e-mail | 0 |
| Nota de avaliação | 3,9 |
| Contagem de favoritos | 0 |
| Plataformas suportadas | Extensão de navegador |
| Plataformas de cobrança |  |
| Atributos | Recursos: Extensão de navegador; Preços: Grátis |
| Tags | Detecção de objetos, TensorFlow, Aprendizado de máquina, Visão computacional, aprendizado profundo, MobileNet, COCO-SSD, Modelos pré-treinados, API |

## Visão geral

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.

## Preços e planos

Free. No subscription, account, or in-app purchase is required to install and use the extension.

## Principais recursos e capacidades

- **MobileNet v2 classification:** 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.
- **COCO-SSD object detection:** Detects and localizes around 80 common object classes with bounding boxes, useful for spotting people, animals, vehicles, and household items in a photo.
- **Runs fully in-browser:** Inference happens locally in the Chrome tab through TensorFlow.js, so no image is uploaded to a remote server and no account is needed.
- **Works on any site:** 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.
- **Educational and free:** Built primarily as a hands-on way to explore pre-trained computer-vision models, offered at no cost by an independent developer.

## Principais casos de uso

- **See pre-trained models in action (Students and learners):** Experiment with MobileNet and COCO-SSD predictions on real images to build intuition for how computer vision models classify and detect objects.
- **Quickly label images while browsing (Curious web users):** Get an instant best-guess label for an unknown picture you encounter on the web without leaving the page or uploading anything.
- **Prototype TensorFlow.js ideas (Developers and tinkerers):** Use the extension as a lightweight reference for what TensorFlow.js models can do in a browser extension context before building your own tooling.

## Pontos fortes

- Completely free with no account, login, or subscription required
- Runs locally in the browser, so images are not uploaded to a third-party server
- Covers both classification (MobileNet) and object detection (COCO-SSD) in one small extension
- Lightweight install and simple, focused interface for quick experiments

## Limitações

- Accuracy is limited to the bundled pre-trained models and can be wrong on unusual or niche images
- Some sites need a separate CORS-unblocking extension before images can be read
- Modest user base and a single maintainer, with infrequent update history

## Perguntas frequentes

### Is TF Image Classifier free to use?
Yes. The extension is free to install from the Chrome Web Store, with no subscription, in-app purchase, or account required.

### Do my images get uploaded anywhere?
No. The MobileNet v2 and COCO-SSD models run through TensorFlow.js inside your browser tab, and the developer's privacy declaration states that data is not collected or shared.

### Why does it fail to read some images?
Many websites block cross-origin image requests. The developer recommends installing a CORS-unblocking extension so the model can access images hosted on other domains.

### How accurate are the predictions?
Results depend entirely on the pre-trained MobileNet v2 and COCO-SSD models. They handle common categories well but can mislabel unusual, abstract, or low-quality images, which is part of the educational value.

### Qual é o tráfego mensal e a tendência de crescimento de TF Image Classifier?
TF Image Classifier recebe atualmente 0 visitas mensais, com variação de tráfego mês a mês de +0 (taxa de crescimento de 0.0%). Seu principal mercado de origem é Global (— de participação), incluindo 0 visitas diretas/mês e 0 visitas de busca orgânica/mês.

### O TF Image Classifier é gratuito? Qual é o seu modelo de preços?
TF Image Classifier opera com um modelo de preços Grátis. Free. No subscription, account, or in-app purchase is required to install and use the extension. As plataformas de cobrança e checkout suportadas incluem: não listado.

### Quais são as melhores alternativas de TF Image Classifier em 2026?
Com base no tráfego das categorias e na adequação de recursos do OpenAITools.app, as cinco principais alternativas a TF Image Classifier são: 1. Ultralytics (793,42 mil visitas/mês); 2. Pl@ntNet (439,9 mil visitas/mês); 3. T-Rex Label (9,9 mil visitas/mês); 4. CanIRun.ai (284,89 mil visitas/mês); 5. NopeCHA (53,28 mil visitas/mês).

### Quais plataformas e principais capacidades de IA o TF Image Classifier suporta?
TF Image Classifier está classificado em Reconhecimento de Imagens com IA, Modelos de IA, Ferramentas de desenvolvimento com IA, Modelos de IA de código aberto, suporta as seguintes plataformas: Extensão de navegador, e suas principais tags de capacidade incluem: Detecção de objetos, TensorFlow, Aprendizado de máquina, Visão computacional, aprendizado profundo, MobileNet.

## Alternativas

| Nome da ferramenta | Visitas mensais | Modelo de preços | Comparar |
| :--- | :--- | :--- | :--- |
| [Ultralytics](https://openaitools.app/pt/tool/ultralytics) | 793.423 | Freemium | [Comparar](https://openaitools.app/pt/compare/tf-image-classifier-vs-ultralytics) |
| [Pl@ntNet](https://openaitools.app/pt/tool/plantnet-org) | 439.904 | Grátis | [Comparar](https://openaitools.app/pt/compare/plantnet-org-vs-tf-image-classifier) |
| [T-Rex Label](https://openaitools.app/pt/tool/t-rex-label) | 9.900 | Grátis | [Comparar](https://openaitools.app/pt/compare/t-rex-label-vs-tf-image-classifier) |
| [CanIRun.ai](https://openaitools.app/pt/tool/canirun-ai) | 284.892 | Grátis | [Comparar](https://openaitools.app/pt/compare/canirun-ai-vs-tf-image-classifier) |
| [NopeCHA](https://openaitools.app/pt/tool/nopecha-com) | 53.284 | Freemium, Pago | [Comparar](https://openaitools.app/pt/compare/nopecha-com-vs-tf-image-classifier) |
| [hektCaptcha: Solucionador de hCaptcha](https://openaitools.app/pt/tool/hektcaptcha-hcaptcha-solver) | 0 | Grátis | [Comparar](https://openaitools.app/pt/compare/hektcaptcha-hcaptcha-solver-vs-tf-image-classifier) |
| [Frigate NVR](https://openaitools.app/pt/tool/frigate-nvr) | 216.701 | Freemium | [Comparar](https://openaitools.app/pt/compare/frigate-nvr-vs-tf-image-classifier) |
| [Civitai](https://openaitools.app/pt/tool/civitai) | 6.963.136 | Freemium | [Comparar](https://openaitools.app/pt/compare/civitai-vs-tf-image-classifier) |
| [Liner.ai](https://openaitools.app/pt/tool/liner-ai) | 10.297 | Grátis | [Comparar](https://openaitools.app/pt/compare/liner-ai-vs-tf-image-classifier) |
| [OCR - Image Reader](https://openaitools.app/pt/tool/ocr-image-reader) | 0 | Grátis | [Comparar](https://openaitools.app/pt/compare/ocr-image-reader-vs-tf-image-classifier) |
| [ModelScope](https://openaitools.app/pt/tool/modelscope-community) | 3.085.423 | Grátis | [Comparar](https://openaitools.app/pt/compare/modelscope-community-vs-tf-image-classifier) |
| [LocalMode UI - Local-First AI Components](https://openaitools.app/pt/tool/localmode-ui-local-first-ai-components) | 33.428 | Grátis | [Comparar](https://openaitools.app/pt/compare/localmode-ui-local-first-ai-components-vs-tf-image-classifier) |

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Fonte: https://openaitools.app/pt/tool/tf-image-classifier