Object Detection and Image Tagging in bulk (DETR)
Pricing
from $4.50 / 1,000 image processeds
Finds the objects in every image URL you list with DETR ResNet-50, running inside the actor with no outside API: label, confidence score and bounding box for each object, a count per label and tags for each image, plus optional annotated images.
You can access the Object Detection and Image Tagging in bulk (DETR) programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in API & Integrations in Apify Console.
1from apify_client import ApifyClient2
3# Initialize the ApifyClient with your Apify API token4# Replace '<YOUR_API_TOKEN>' with your token.5client = ApifyClient("<YOUR_API_TOKEN>")6
7# Prepare the Actor input8run_input = { "imageUrls": [{ "url": "http://images.cocodataset.org/val2017/000000039769.jpg" }] }9
10# Run the Actor and wait for it to finish11run = client.actor("examsens.ai/object-detection").call(run_input=run_input)12
13# Fetch and print Actor results from the run's dataset (if there are any)14print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")15for item in client.dataset(run.default_dataset_id).iterate_items():16 print(item)17
18# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-startThe Apify API client for Python is the official library that allows you to use Object Detection and Image Tagging in bulk (DETR) API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
$pip install apify-clientOther API clients include: