Image Search vs Visual Finder｜Object Detector

Image Search - Reverse Lookup Image Search - Reverse Lookup allows you to search images using photos from your camera, photo library, pasted images, or recent search history. The app helps you find visually similar images and related information by performing reverse image searches through supported image search services. Simply select or capture an image, and the app will submit it for a reverse image search to display publicly available results from multiple providers. Key Features Reverse image search using camera photos Search images from your photo library Paste images directly from the clipboard View and manage recent image search history Supports multiple reverse image search services Clean, fast, and easy-to-use interface How Reverse Image Search Works When you choose an image to search, the app uploads the selected image temporarily to a third-party image hosting service in order to generate a public image URL. This URL is required by reverse image search services to retrieve search results. All image uploads and searches are initiated manually by the user. The app does not perform background uploads or automatic processing. Privacy and Image Handling Your privacy is a priority. Images are uploaded only after user action Image uploads are temporary and used only to perform the requested search Images are not stored on our servers Images are not linked to personal information Images are not used for analytics, advertising, or tracking Uploaded images may be automatically removed according to the third-party hosting provider's retention policy The app does not access, retain, or reuse your images beyond what is required to complete the search. Third-Party Services This app uses third-party image search services to perform reverse image searches and display publicly available results. These services process image URLs in accordance with their own terms and privacy policies. This app is not affiliated with, endorsed by, or sponsored by any third-party image search provider. Transparency and User Control No background image uploads No hidden data collection No account required Full control over every image you search Important Information An internet connection is required to perform image searches Search results are provided by external services and may vary Image availability depends on third-party hosting retention policies

Visual Finder detects people and objects in your iPhone or iPad camera feed in real time, letting you review, track, and record results as they happen. It supports 80 COCO-based categories, including people, vehicles, animals, and everyday items. Switch between Box, which marks objects with bounding boxes, and Mask, which highlights each object’s shape. Track detected objects, revisit them as cropped images, review each session through statistics and charts, and export results as CSV. Detection runs with Core ML directly on your device. —————————— ■ Real-time object detection Detect objects live through your camera. Choose only the categories you need or select all available categories. Each result shows its location, category, and confidence. The screen also displays the current detection count and inference FPS. —————————— ■ Box and Mask display modes Box surrounds each object with a bounding box for a clear view of its location and size. Mask uses instance segmentation to show the region along the object’s shape, revealing contours and occupied areas that a rectangle alone cannot capture. Use both modes to compare the same scene from different perspectives. —————————— ■ Object tracking Follow moving objects across camera frames. Each tracked object receives an ID, making it easy to distinguish multiple objects in the same category. —————————— ■ Cropped detection images Recent detections appear as object crops at the bottom of the screen. Tap a crop for a larger view and save selected images to your photo library. In Mask mode, crops follow the segmented shape. They can be saved as PNG files with everything outside the object made transparent. You can also adjust the history limit and haptic feedback for new crops. —————————— ■ Session summaries Results from start to stop are grouped into one session. Logs include: • Detection duration • Processed frames and total detections • Detected categories and counts by category • Detected frames and appearance rate • Average confidence and detection area • Maximum detections per frame • Average FPS Charts show changes over time and each category’s share. Review not only what appeared, but how frequently it was detected. —————————— ■ CSV export Export session logs in two formats: Summary, with overall and category statistics, and Data, with results for each frame. Share files through the iOS or iPadOS share sheet for use with spreadsheets and analysis tools. —————————— ■ Adjustable detection settings Fine-tune the maximum detection rate, confidence threshold, IoU threshold, minimum detection size, and Object Tracking. Choose 1, 5, 10, 20 FPS, or Max. Actual inference speed depends on the device, model, scene, and device conditions. —————————— ■ Camera selection Use available Wide, Ultra Wide, Telephoto, and Front cameras. Compatible external cameras exposed through AVCapture can also be selected. Camera availability and behavior vary by device, OS, and connected camera. —————————— ■ On-device processing Visual Finder uses Core ML. Camera frames are processed on your device and do not need to be sent to an external AI server for object detection. —————————— ■ Ideal for Explore AI, object detection, instance segmentation, and tracking with a live camera. Compare Box and Mask results, save object crops, analyze sessions or CSV data, and use the app for research, development, learning, demos, or external-camera tests. Some detection categories, Object Tracking, and ad removal require an in-app purchase. Results vary with device performance, lighting, object size and orientation, motion, occlusion, and other conditions. This app is not intended for medical, safety management, identity verification, or other uses where false or missed detections could have serious consequences. Terms of Use (Apple Standard EULA): https://www.apple.com/legal/internet-services/itunes/dev/stdeula/