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Project Type

Object Detection

Classification

Instance Segmentation

+3

Model Type

RF-DETR

YOLO26

YOLOv11

YOLOv8

YOLO-NAS

+4

Classes

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Custom

Try Di-13-14 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": "di-13-14"
  },
  use_cache=True  # cache workflow definition for 15 minutes
)

# 4. Get your results
print(result)

Search Results for class:di-13-14

Related Objects of Interest:

cam di nguoc chieu cam do xe cam do xe ngay chan cam do xe ngay le cam oto re trai

EfficientDet project thumbnail

Object Detection

EfficientDet

by traficsignrecognition

4.6k images2 models

0 1 10 11 12 13 14 15 16 17 18 19 2 20 21 22 3 4 5 6

object detection for pnid cgs3 project thumbnail

Object Detection

object detection for pnid cgs3

52 images

0 1 10 11 12 13 14 15 16 17 18 19 2 20 21 22 23 24 25 26

SIGNALS project thumbnail

Object Detection

SIGNALS

by AVR

4.43k images2 models

100-32 101-33 102-34 103-35 106-36 107-37 107-37 Fermarsi e dare precedenza 108-38 108-39 109-40 110-41 111-42 112-43 112-43a 112-43b 112-43c 112-80d 114-45 116-46 116-47

My First Project project thumbnail

Object Detection

My First Project

by New Workspace

345 images

warning 0 1 10 101 102 102_1 102_10 102_11 102_12 102_13 102_14 102_15 102_16 102_17 102_18 102_19 102_2 102_20 102_21

Shoes project thumbnail

Object Detection

Shoes

7.12k images3

나이키_SB 줌 브레이저 미드 나이키_SB 줌 블레이저 미드 나이키_SB 줌 스테판 야노스키 캔버스 나이키_SB 줌 스테판 야노스키 캔버스 RM 프리미엄 나이키_SB 줌 스테판야노스키 RM 나이키_SB 줌 스테판야노스키 캔버스 RM 나이키_SB 줌 스테판야노스키 캔버스 RM 프리미엄 나이키_SB 차지 슬립 나이키_x 올리비아 킴 에어맥스 98 나이키_나이지리아 에어맥스 95 나이키_데이 브레이크 나이키_데이브레이크 SE 월드와이드 나이키_디엠포 레전드 8 엘리트 HG 나이키_라이즈 365 나이키_레볼루션 5 나이키_레볼루션 5 EXT 나이키_레전드 8 프로 HG 나이키_레전드 에센셜 2 나이키_르브론 17 FP 나이키_르브론 17 로우 PH

Conjunto de testes - Transcricao project thumbnail

Object Detection

Conjunto de testes - Transcricao

497 images6

(sabores)*Leite em Pó Integral Sachê Italac 800g 0 0.79 00 01 01.29 01.75 02 02.09 02.29 02.49 023 03 04 04.39 04.45 05.39 09.99 1

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