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Project Type
Object Detection
Classification
Instance Segmentation
+3

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


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

# 4. Get your results
print(result)

Top Zack Datasets and Models

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

fish_detection project thumbnail
Object Detection

fish_detection

by poissons

86 images·3 models·2
FrankyMarcJrPachyUropZack
Team Member Detection project thumbnail
Object Detection

Team Member Detection

by MAE 148 Team 9 Spring 2025

1k images·3 models
personallencolinkalebobjectszack
fifa project thumbnail
Object Detection

fifa

by work

10.3k images·8
1 - Adam Davies1 - Alisson1 - Altay Bayındır1 - Bart Verbruggen1 - Cameron Plain1 - Emiliano Martínez1 - Hugo Lloris1 - James Trafford1 - Jordan Pickford1 - José Sá1 - Lukasz Fabianski1 - Marek Rodak1 - Mark Flekken1 - Martin Dúbravka1 - Matt Turner1 - Neto1 - Ramsdale1 - Robert Sánchez1 - james Shea1 -Sam Johnstone
Showing 1 - 3 of 3
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