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by image similarity

Project Type

Object Detection

Classification

Instance Segmentation

+3

Model Type

RF-DETR

YOLO26

YOLOv11

YOLOv8

YOLO-NAS

+4

Classes

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

# 4. Get your results
print(result)

Top Comm Datasets and Models

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

Related Objects of Interest:

Tarkov Inventory Icons project thumbnail

Object Detection

Tarkov Inventory Icons

by Tarkov Vision

4.77k images1 model

screwdriver wrench 1001 1013 1091 1094 1095 1097 1110 1133 1134 1137 1140 1141 1156 1163 1167 1172 1184 1185

D3-Ewaste-dataset project thumbnail

Object Detection

D3-Ewaste-dataset

by D3Ewastedataset

70 images

1wpcg06a1 8wpcgo6 4a1c 081 6fr4 94y8 dlink wireless wda 1320 wwireless g desktop adapter pn bwda1320na a1 sn p133285001045 hw ver a2 fw ver 110 mac id 001e58ad3e76 o42749836 200mu 200n 3 pci module removal 1 1 pci module replacement 1 2 180 3 nic module removal 1 2 2 3 caution shut down server and disconnect all power before removing this pci riser cage 33 pci module removal 1 1 pci module replacement 1 2 180 3 nic module removal 1 2 2 3 caution shut down server and disconnect all power before removing this pci riser cage 3 caution power supply backplane must be removed before removing system board power backplane removal 1 3 2 6 4 5 4 3lcd hdmi 700 19099 01 rev aq delta Seagat Constellation ES UR-students a1 100v av1 0640v ac on fan on output fail acbel Abel polytechnic inc model no api4st03 apple pn 6140361 input 100v 240v 50 60hz 2 ant tx dc swr power meter dc 138v sx 100 diamond antenna 809212092 asian power devices inc ac adapter model no da 74a36 input 120 240v 50 60hz 2 ati att 3270f b213t 9399746 att 3270b b214t 8945742 lb1276a1 5807 55381 nec usa 703 eb2 lb1276a1 5807 55381 lb1276a1 5807 55381 lb1276a1 5807 55381 lb1276a1 5807 55381 lb1276a1 5807 55381 lb1276a1 5807 55381 lb1276a1 5807 55381 lb1276a1 5807 55381 avg cal 18mhz 200mhz pep m sx200 200w power cal swr ref fwd off ax1200i self test peripheral sata 1 2 3 4 5 6 comm port 24pin atx 62 pcie 44 cpu 1 2 3 4 5 6 7 8 broadband firewall router with 4 port switch vpn endpoint model broadband firewall router with 4 port switch vpn endpoint model linksys cable panels vertical piceo blocks general size save recall settings serial 1234567890 clr esc ok abcdefghijklmnopqrstuvwxyzbkspspace shift shift ok cf402a 201a yellow print cartridge jetintelligence more pages performance and protection hp laserjet pro m252 mfp m277 laserjet hp

db22 project thumbnail

Object Detection

db22

291 images4

ARR COMM DATE PLAN PROJET PROVINCE TF

ocr 2 project thumbnail

Object Detection

ocr 2

by text detection

408 images4

dot tire %0 1 2 3 4 5 6 7 8 9 >comm

ocr project thumbnail

Object Detection

ocr

by text detection

408 images3

dot tire %0 1 2 3 4 5 6 7 8 9 >comm

Markalama Kontrol project thumbnail

Object Detection

Markalama Kontrol

by Hidayets Workspace

4k images4 models

dot tire %* 50% probability of horizontal flip * 50% probability of vertical flip * Auto-orientation of pixel data (with EXIF-orientation stripping)* Equal probability of one of the following 90-degree rotations: none, clockwise, counter-clockwise, upside-down * Grayscale (CRT phosphor)* Random brigthness adjustment of between -15 and +15 percent * Random exposure adjustment of between -10 and +10 percent * Random rotation of between -15 and +15 degrees * Random shear of between -10° to +10° horizontally and -10° to +10° vertically * Randomly crop between 0 and 20 percent of the image * Resize to 640x640 (Stretch)* annotate, and create datasets * collaborate with your team on computer vision projects * collect & organize images * export, train, and deploy computer vision models * understand and search unstructured image data * use active learning to improve your dataset over time

Types of Aircraft project thumbnail

Object Detection

Types of Aircraft

by Misbahs Workspace

882 images1 model

comm largge comm medium comm small mil large mil medium mil small

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