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

combo-twist
one-shot
one-shot_2144
one-shot-1280-n
one-shot-1280-s
one-shot-1920-n
one-shot-1920-s
one-shot-pipeline
recovery
second-loop_1280-n
second-loop_1280-s
second-loop_1920
second-loop-pipeline
test
third-loop-1280-s
all-natural
b1
bright-prism-700
fix-me
iron-prism-92
polarity1
quick-lark-6500
redemption
sharp-iris-87-gen2
sharp-kite-45
vital-anchor-82-good

Sequence

fix-me

ID d80f192a-1261-4020-8170-e372f26420eb

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

mAP — · about 2 months ago

Training completed. Metrics will appear when available.

Conversion

— · about 2 months ago

Core ML package ready for deployment.