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Detect and tag the objects in an image

Finds the objects in one sample photo with DETR ResNet-50, running inside the actor with no outside API, and returns each object's label, confidence score and bounding box, a count per label and tags for the image. Turn on annotated images to get a copy with the boxes drawn. Swap in your own image URLs.

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Object Detection and Image Tagging in bulk (DETR)
Object Detection and Image Tagging in bulk (DETR)examsens.ai/object-detection
Image
Done
Objects
Tags
+6 fields
Text
Number
Boolean
List
Object

Input

Image URLs(required)
url:http://images.cocodataset.org/val2017/000000039769.jpg
Minimum confidence:0.9

Output fields

Image
Done
Objects
Tags
Count per label
Width
Height
Seconds
Annotated
Error

How it works

Sign up on Apify or log in

The Object Detection and Image Tagging in bulk (DETR) Actor is ready to run with the inputs already set for "Detect and tag the objects in an image". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Detect and tag the objects in an image" task

The Object Detection and Image Tagging in bulk (DETR) Actor will start running based on the input automatically. You can also change all the input fields, like image urls and minimum confidence, to match your specific use case.

Receive the "Detect and tag the objects in an image" output

Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as image, done, objects, and more.

Integrate into your workflow

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also run the "Detect and tag the objects in an image" task via API.

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