eBay Motors の事例: Firebase ML を使用して画像の迅速な分類、コストの削減、ユーザー エクスペリエンスの向上を実現
はじめに
eBay Motors は、地元で販売されている車を検索できる仕組みを構築しました。ユーザーは、モバイルアプリのシンプルで使いやすいインターフェースを使用して、売りに出したい車の写真をアップロードすることもできます。このアプリは、車に多大な興味を持っている車愛好家向けに作られています。このような人々は、車を単なる A 地点から B 地点への移動手段にとどまらないものと見ています。
「AutoML を使用したことで、アプリを通じてリスティングを作成する時間が短縮されました。これは、売り手の ROI という点で当社にとって明白な影響があります。」
- eBay Motors 社ネイティブ アプリ責任者 Jake Hall 氏
[[["わかりやすい","easyToUnderstand","thumb-up"],["問題の解決に役立った","solvedMyProblem","thumb-up"],["その他","otherUp","thumb-up"]],[["必要な情報がない","missingTheInformationINeed","thumb-down"],["複雑すぎる / 手順が多すぎる","tooComplicatedTooManySteps","thumb-down"],["最新ではない","outOfDate","thumb-down"],["翻訳に関する問題","translationIssue","thumb-down"],["サンプル / コードに問題がある","samplesCodeIssue","thumb-down"],["その他","otherDown","thumb-down"]],[],[],[],null,["# eBay Case Study\n\n[*arrow_back*\nExplore other case studies](/case-studies) \n[View more solutions](/solutions) \n\n##### eBay Motors uses Firebase ML to quickly categorize images, reduce costs and improve user experience\n\n*** ** * ** ***\n\n##### Introduction\n\n[eBay Motors](https://pages.ebay.com/motors/motorsapp/) allows\nusers to search and find cars for sale in their area. Users can also\nupload pictures of cars that they want to sell, using a simple\nand easy-to-use inteace through the mobile app. The app is\ntargeted towards auto enthusiasts: customers who care about cars.\nThese are folks that see a car as something much more than a\nutility that helps them get from point A to B.\n\n*** ** * ** ***\n\n##### Challenge\n\nThis type of buyer expects a more detailed description of the car\nand insights into its history. For sellers, it's of the utmost\nimportance to have well-taken pictures uploaded for their car\nlistings in the app. However, tagging each photo as an exterior,\ninterior or engine requires a lot of manual effort, which can delay\nposting a car for sale, and ultimately prevent more people from\nlisting their cars through the app.\n\nThe eBay Motors app development team spent a lot of cycles trying\nto figure out how best to automate the tagging of these photos, but\nstill didn't have a solution they were happy with. \n\n*** ** * ** ***\n\n##### Solution\n\nThe team realized that they did not need to build all of this\nfunctionality in-house and turned to [AutoML Vision Edge](/docs/ml/automl-image-labeling)\nto help them with this user experience challenge. \"There were\ntwo key considerations: how do we provide a seamless upload\nexperience for sellers to reduce friction for them when\ncreating listings, and how do we reduce the amount of cost,\nboth in terms of engineering effort and server costs, to\nsupport this type of feature,\" said Jake Hall, Head of Native\nApps for eBay Motors. AutoML addressed both issues head on,\n\"allowing us to improve the time it takes to create a listing\nthrough the app, which obviously has clear implications for\nus in terms of seller ROI,\" added Hall. \nThanks to AutoML Vision Edge, the eBay Motors team was able to\ngo from concept to prototype within a week using their own\ndata set. With just a few hours of data labeling, they were\nalso able to improve the model to a level that they feel\ncomfoable using in production.\n\n*** ** * ** ***\n\nResults\n\n1 week to go from concept to prototype (using their own data set)\n\n20 hours of data labeling needed to use the model in production \n\n\"AutoML allowed us to improve the time it takes to create a listing through the app, which obviously has clear implications for us in terms of seller ROI.\"\n\n\n- Jake Hall, Head of Native Apps, eBay Motors \nTry Firebase today\n\n\nIntegrating it into your app is easy.\n[Get started](https://console.firebase.google.com/) \n\n#### All Firebase products\n\n##### Build\n\n- [App Check](/products/app-check)\n- [App Hosting](/products/app-hosting)\n- [Authentication](/products/auth)\n- [Cloud Functions](/products/functions)\n- [Cloud Storage](/products/storage)\n- [Data Connect](/products/data-connect)\n- [Extensions](/products/extensions)\n- [Firestore](/products/firestore)\n- [Firebase ML](/products/ml)\n- [Genkit](https://genkit.dev/)\n- [Hosting](/products/hosting)\n- [Realtime Database](/products/realtime-database)\n- [Firebase AI Logic client SDKs](/products/firebase-ai-logic)\n\n[Generative AI](/products/generative-ai) \n\n##### Run\n\n- [A/B Testing](/products/ab-testing)\n- [App Distribution](/products/app-distribution)\n- [Cloud Messaging](/products/cloud-messaging)\n- [Crashlytics](/products/crashlytics)\n- [Google Analytics](/products/analytics)\n- [In-App Messaging](/products/in-app-messaging)\n- [Performance Monitoring](/products/performance)\n- [Remote Config](/products/remote-config)\n- [Test Lab](/products/test-lab)"]]