Pipeline

Dashboard Videos Raw frames Stills Sequences Assembly Lines

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Workspaces

azad0 frames · 2 seq · 0 lines
configurator0 frames · 4 seq · 0 lines
vestas0 frames · 20 seq · 1 line
tpi0 frames · 10 seq · 0 lines
vita-demo0 frames · 3 seq · 1 line
counting0 frames · 7 seq · 1 line
Demo Space10 frames · 4 seq · 3 lines
Clock-K30 frames · 26 seq · 7 lines
Bhuvan-Test0 frames · 15 seq · 4 lines
TubeID0 frames · 8 seq · 7 lines
Cyient0 frames · 14 seq · 6 lines
True Value Hub1 frames · 1 seq · 1 line
Sanad0 frames · 1 seq · 1 line
Microplastics3 frames · 12 seq · 6 lines
Warehouse6 frames · 10 seq · 4 lines

Dev User

Settings

Sequences

shapes
shapes_donation
stamps_v11
stamps_v12
stamps_v13
stamps_v14
stamps_v15
stamps_v16

Sequence

shapes_donation

ID 0779f9eb-0c6a-40f6-a6b5-0289fb889f3e

Updated about 2 months ago

Sequence type:
Capture modality:: blank
Root:: manual

Training pipeline

Dataset

YOLO zip (data.yaml, train/images, valid/images). Use the upload icon in the card header.

Training

Local training: zip train/ or a full Ultralytics run folder (weights, train/results.csv). Use the upload icon in the card header.

Conversion

17.9 MB · about 2 months ago

Core ML package ready for deployment.