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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:
s100s106s110s120s130

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Custom

Try S70 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": "s70"
  },
  use_cache=True  # cache workflow definition for 15 minutes
)

# 4. Get your results
print(result)

Top S70 Datasets and Models

The datasets below can be used to train fine-tuned models for s70 detection. You can explore each dataset in your browser using Roboflow and export the dataset into one of many formats.

Related Objects of Interest:
s100s106s110s120s130
seno-frontal-caldwell project thumbnail
Instance Segmentation

seno-frontal-caldwell

by New Workspace

122 images·4 models
S1S10S100S101S102S103S104S105S106S107S108S109S11S110S111S112S113S114S115S116
pcb project thumbnail
Object Detection

pcb

by legend productions

96 images·1 model·1
s1s10s11s12s13s14s15s16s17s18s19s2s20s21s22s23s24s25s26s27
street signs project thumbnail
Object Detection

street signs

by Jacek Kałużny

4.14k images·12
stopcrosswalksendofpriorityendspeedprioritys100s110s120s130s140s20s30s40s50s60s70s80s90speedcameratrafficlights
indus_valley_script_sub_divided project thumbnail
Instance Segmentation

indus_valley_script_sub_divided

by indusvalleyscript

89 images
Animals10s106s125s127s130s132s134s135s143s16s161s163s164s166s170s176s177s18s183
set2 project thumbnail
Object Detection

set2

by s Workspace

699 images
A10A300A32A330ARMMAAWAKASAbramsAir defAn175BMPBTR60BTR82Bas200BayraktarBirdEYE 650Black hornetBuk3C-300C34C400
Showing 1 - 5 of 5
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