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Project Type
Object Detection
Classification
Instance Segmentation
+3

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

Related Objects of Interest:
ans1_1_blockans1_2_blockans1_3_blockans1_4_blockans2_1_block

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Custom

Try Ans2_4_block 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": "ans2_4_block"
  },
  use_cache=True  # cache workflow definition for 15 minutes
)

# 4. Get your results
print(result)

Top Ans2_4_block Datasets and Models

The datasets below can be used to train fine-tuned models for ans2_4_block detection. You can explore each dataset in your browser using Roboflow and export the dataset into one of many formats.

Related Objects of Interest:
ans1_1_blockans1_2_blockans1_3_blockans1_4_blockans2_1_block
v4_sheet_corner project thumbnail
Object Detection

v4_sheet_corner

by Bubble sheet multiple choice

167 images·6 models
cornerpaperans1_1_blockans1_2_blockans1_3_blockans1_4_blockans2_1_blockans2_2_blockans2_3_blockans2_4_blockans3_1_blockans3_2_blockans3_3_blockans3_4_blockans3_5_blockans3_6_blockans_blockcode_blockstuID_block
V3_Sheet project thumbnail
Object Detection

V3_Sheet

by Bubble sheet multiple choice

300 images·8 models
cornerpaper- Auto-orientation of pixel data (with EXIF-orientation stripping)- Resize to 640x640 (Stretch)- collaborate with your team on computer vision projects- understand and search unstructured image data- use active learning to improve your dataset over time==============================Objects are annotated in YOLOv8 Oriented Object Detection format-Roboflow is an end-to-end computer vision platform that helps youThe dataset includes 212 images-The following pre-processing was applied to each image:V3_Sheet - v13 Train Detail Version 4-1 (Change Answer Area)ans1_1_blockans1_2_blockans1_3_blockans1_4_blockans2_1_blockans2_2_blockans2_3_block
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