{"id":28303401,"url":"https://github.com/aslamanver/tflite-image","last_synced_at":"2026-04-18T07:34:02.316Z","repository":{"id":102661450,"uuid":"260774614","full_name":"aslamanver/tflite-image","owner":"aslamanver","description":"TFLite-Image for Android - TensorFlow Lite inception model image library for Android","archived":false,"fork":false,"pushed_at":"2022-12-23T16:10:05.000Z","size":314,"stargazers_count":5,"open_issues_count":1,"forks_count":0,"subscribers_count":1,"default_branch":"master","last_synced_at":"2025-10-22T06:37:36.592Z","etag":null,"topics":["ai","android","image-classification","machine-learning","model","tensorflow","tensorflow-lite","tflite-image","training"],"latest_commit_sha":null,"homepage":"https://aslamanver.github.io/tflite-image","language":"Java","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/aslamanver.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null,"zenodo":null,"notice":null,"maintainers":null,"copyright":null,"agents":null,"dco":null,"cla":null}},"created_at":"2020-05-02T21:03:34.000Z","updated_at":"2024-10-31T15:19:35.000Z","dependencies_parsed_at":null,"dependency_job_id":"d1a9073a-bd12-4d54-a030-f968cb970e1e","html_url":"https://github.com/aslamanver/tflite-image","commit_stats":null,"previous_names":[],"tags_count":4,"template":false,"template_full_name":null,"purl":"pkg:github/aslamanver/tflite-image","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/aslamanver%2Ftflite-image","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/aslamanver%2Ftflite-image/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/aslamanver%2Ftflite-image/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/aslamanver%2Ftflite-image/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/aslamanver","download_url":"https://codeload.github.com/aslamanver/tflite-image/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/aslamanver%2Ftflite-image/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":31961345,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-04-18T00:39:45.007Z","status":"online","status_checked_at":"2026-04-18T02:00:07.018Z","response_time":103,"last_error":null,"robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":true,"can_crawl_api":true,"host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["ai","android","image-classification","machine-learning","model","tensorflow","tensorflow-lite","tflite-image","training"],"created_at":"2025-05-23T23:11:03.998Z","updated_at":"2026-04-18T07:34:02.309Z","avatar_url":"https://github.com/aslamanver.png","language":"Java","funding_links":[],"categories":[],"sub_categories":[],"readme":"# TFLite-Image\nLet's make machine learning simple.\u003cbr/\u003e\nBuilding a custom image classifier for your Android application using TensorFlow Lite.\n\n![https://i.imgur.com/lGObtU8.png](https://i.imgur.com/O62Wcof.png)\n\n[![](https://jitpack.io/v/aslamanver/tflite-image.svg)](https://jitpack.io/#aslamanver/tflite-image) \n[![](https://github.com/aslamanver/tflite-image/actions/workflows/android.yml/badge.svg)](https://github.com/aslamanver/tflite-image/actions)\n[![Build Status](https://travis-ci.com/aslamanver/tflite-image.svg?branch=master)](https://travis-ci.com/aslamanver/tflite-image)\n\nTFLite-Image for Android - TensorFlow Lite inception model image library for Android\n\nMove your trained model to asset folder or prepare a new image inception model using Google [teachablemachine](https://teachablemachine.withgoogle.com) machine learning library.\n\nYou can use the sample inception quant or float model that we used in this project with 299 image dimension.\n\n- [inception_quant.tflite](https://github.com/aslamanver/tflite-image/blob/master/app/src/main/assets/inception_quant.tflite)\n- [inception_float.tflite](https://github.com/aslamanver/tflite-image/blob/master/app/src/main/assets/inception_float.tflite)\n- [labels.txt](https://github.com/aslamanver/tflite-image/blob/master/app/src/main/assets/labels.txt)\u003cbr/\u003e\n\n### Initialization\n\nAdd the below repository into your project level build.gradle file.\n\n```gradle\nallprojects {\n    repositories {\n        ...\n        maven { url 'https://jitpack.io' }\n    }\n}\n```\n\nAdd the below dependency into your module level `build.gradle` file.\n\n```gradle\ndependencies {\n    ...\n    implementation 'com.github.aslamanver:tflite-image:v1.0.9'\n}\n```\n\nMake sure you have added no compress config for your model files\n```gradle\nandroid {\n    ....\n    aaptOptions {\n        noCompress \"tflite\"\n        noCompress \"lite\"\n    }\n}\n```\n\n### Simple Usage\n\nYou need to pass the model file, label text and the model type.\n\n```java\nTFLiteImage tfLite = TFLiteImage.getInstance(activity, \"your_model_file.tflite\", \"labels.txt\", TFLiteImage.TYPE.QUANT, IMG_DIM_SIZE);\nList\u003cMap\u003cString, String\u003e\u003e results = tfLite.predictImage(image view or bitmap image);\n```\n\u003e `IMG_DIM_SIZE` is 299 or 224 according to your model, you can visualize your model data to check `IMG_DIM_SIZE`.\n\nInception model types\n```java\nTFLiteImage.TYPE.QUANT\nTFLiteImage.TYPE.FLOAT\n```\n\n### Use case\n\n```java\nTFLiteImage tfLite = TFLiteImage.getInstance(this, \"inception_quant.tflite\", \"labels.txt\", TFLiteImage.TYPE.QUANT);\nList\u003cMap\u003cString, String\u003e\u003e results = tfLite.predictImage(binding.imgView);\n\nfor (Map\u003cString, String\u003e map : results) {\n    Log.e(\"RESULT\", map.get(\"LABEL\") + \" - \" + map.get(\"CONFIDENCE\"));\n}\n```\n\nResult\n\n```java\nmap.get(\"LABEL\");\nmap.get(\"CONFIDENCE\");\n```\n\nSunglass - 99% \u003cbr/\u003e\nGlass - 85% \u003cbr/\u003e\nJeans - 70% \u003cbr/\u003e\n\n### Demonstration\n[![Screenshot](/screenshots/1.png)](/screenshots/1.png)\n\nTest the sample app that I made for you: [TFLite-Image-v1.0.apk](https://drive.google.com/file/d/1YFNNx25bvUhahTkaL_TrRV3MLaQCXedT/view?usp=sharing)\n\n\u003chr/\u003e\n\nMade with ❤️ by \u003cb\u003eAslam Anver\u003c/b\u003e\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Faslamanver%2Ftflite-image","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Faslamanver%2Ftflite-image","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Faslamanver%2Ftflite-image/lists"}