Detect and locate objects in images. Bounding boxes with confidence scores. Runs entirely in your browser using DETR ResNet-50 — private, no upload.
Your images are processed entirely in your browser via DETR ResNet-50. Nothing is uploaded to any server.
Drop image here or click to select
PNG, JPG, WebP — single image
Runs entirely in your browser. Your data never leaves your device.
No. This AI object detector runs entirely in your browser using WebAssembly. Images are processed locally via DETR ResNet-50 and never leave your device.
DETR ResNet-50 is trained on COCO and can detect 80 object categories including person, car, chair, dog, cat, book, bottle, sports ball, and many more common objects.
A bounding box is a rectangular box that indicates the location of a detected object. Each box comes with a class label and a confidence score (0-100%) showing how sure the model is.
Use images with clear, well-lit objects. Adjust the confidence threshold slider to filter out low-confidence detections. Lower threshold = more detections; higher = fewer but more accurate.
If you just finished with Object Detection in Photos, the natural next steps are AI Image Description, AI Background Removal, Image Recognition, or browse every tool in Local AI Tools.