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Project Type

Object Detection

Classification

Instance Segmentation

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RF-DETR

YOLO26

YOLOv11

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YOLO-NAS

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Try Lane_right_2 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": "lane_right_2"
  },
  use_cache=True  # cache workflow definition for 15 minutes
)

# 4. Get your results
print(result)

Top Lane_right_2 Datasets and Models

The datasets below can be used to train fine-tuned models for lane_right_2 detection. You can explore each dataset in your browser using Roboflow and export the dataset into one of many formats.

Garbage_Accumulation_Project project thumbnail

Instance Segmentation

Garbage_Accumulation_Project

by LaneDetection

4.89k images3 models

car garbage ==============================Litter detection - v2 2023-04-10 10:33am garbage_container lane_left_1 lane_left_2 lane_right_1 lane_right_2 objects trashdetect - v21 newdata21 waste - v1 2022-12-01 2:50pm

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