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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:
ban_le_badcassettecon_trung

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Custom

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

# 4. Get your results
print(result)

Top Cassette_bad Datasets and Models

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

Related Objects of Interest:
ban_le_badcassettecon_trung
goc-6-obj-detect project thumbnail
Object Detection

goc-6-obj-detect

by ICDPGP16

776 images
ban_le_badbang_dinh_1_3bang_dinh_2bang_dinh_4_6bang_dinh_5cassettecassette_badco_quangco_quang_badcon_trungday_rutday_rut_badmoc_tronmoc_tron_gayong_co_nhietong_co_nhiet_badpigtail_duoipigtail_khong_datpigtail_tren
goc-5-obj-detect project thumbnail
Object Detection

goc-5-obj-detect

by GroupPoint16

827 images
ban_le_badcap_thue_bao_badcap_thue_bao_thuacassettecassette_badcon_trungcoupler_matcoupler_nguoccoupler_saihop_bo_chiahop_bo_chia_badmat_nap_bo_chiamat_nap_couplermat_oc_couplernap_bo_chianap_bo_chia_badoc_nap_bo_chiatem_oc_bo_chiatem_oc_bo_chia_bad
Showing 1 - 2 of 2
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