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Project Type
Object Detection
Classification
Instance Segmentation
+3

Model Type
RF-DETR
YOLO26
YOLOv11
YOLOv8
YOLO-NAS
+4


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Custom

Try Nulll Detection API

Run on custom image

Drop or click to upload

# 1. Import the library
from inference_sdk import InferenceHTTPClient

# 2. Connect to your workspace
client = InferenceHTTPClient(
  api_url="https://serverless.roboflow.com",
  api_key="API_KEY"
)

# 3. Run your workflow on an image
result = client.run_workflow(
  workspace_name="<YOUR_WORKSPACE>",
  workflow_id="<YOUR_WORKFLOW_ID>",
  images={
    "image": "YOUR_IMAGE.jpg"  # Path to your image file
  },
  parameters={
    "classes": "nulll"
  },
  use_cache=True  # cache workflow definition for 15 minutes
)

# 4. Get your results
print(result)

Top Nulll Datasets and Models

The datasets below can be used to train fine-tuned models for nulll detection. You can explore each dataset in your browser using Roboflow and export the dataset into one of many formats.

fan project thumbnail
Object Detection

fan

by detection

985 images
cardboardfanpipe0101112132345789nullltv
Roboflow-Optimized-Project-MBPrinter project thumbnail
Object Detection

Roboflow-Optimized-Project-MBPrinter

by Jace Roboflow

9.97k images·2 models·4
A6628SEDTARM HP MicrocontrollerEPSON Microcontroller 4PEPSON Mini ICEPSON Power ICESMT SDRAMEtronTech SDRAMHP Microcontroller BGAJAPAN Mini IC ChipJAPAN microcontroller 0PJAPAN microcontroller 4PMarvell Microcontroller 0SPMarvell Microcontroller 4SPNull BGA MicrocontrollerNull Microcontroller 0SPNull Microcontroller 4SPNulll TQFPOKI DRAMOKI IC ChipREALTEK TQFP
Showing 1 - 2 of 2
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