Glenn-jocher's workspace
Runs
8
State
Notes
User
Tags
Created
Runtime
Sweep
artifact_alias
batch_size
bbox_interval
bucket
cache
cfg
cos_lr
data
data_dict.download
data_dict.names.0
data_dict.names.1
data_dict.names.10
data_dict.names.11
data_dict.names.12
data_dict.names.13
data_dict.names.14
data_dict.names.15
data_dict.names.16
data_dict.names.17
data_dict.names.18
data_dict.names.19
data_dict.names.2
data_dict.names.20
data_dict.names.21
data_dict.names.22
data_dict.names.23
data_dict.names.24
data_dict.names.25
data_dict.names.26
data_dict.names.27
data_dict.names.28
data_dict.names.29
data_dict.names.3
data_dict.names.30
data_dict.names.31
data_dict.names.32
data_dict.names.33
data_dict.names.34
data_dict.names.35
data_dict.names.36
data_dict.names.37
data_dict.names.38
data_dict.names.39
data_dict.names.4
Finished
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glenn-jocher
1d 22h 33m 41s
-
latest
128
-1
disk
/usr/src/app/models/yolov5m-Mish.yaml
false
/usr/src/app/data/coco.yaml
from utils.general import download, Path
# Download labels
segments = False # segment or box labels
dir = Path(yaml['path']) # dataset root dir
url = 'https://github.com/ultralytics/yolov5/releases/download/v1.0/'
urls = [url + ('coco2017labels-segments.zip' if segments else 'coco2017labels.zip')] # labels
download(urls, dir=dir.parent)
# Download data
urls = ['http://images.cocodataset.org/zips/train2017.zip', # 19G, 118k images
'http://images.cocodataset.org/zips/val2017.zip', # 1G, 5k images
'http://images.cocodataset.org/zips/test2017.zip'] # 7G, 41k images (optional)
download(urls, dir=dir / 'images', threads=3)
person
bicycle
fire hydrant
stop sign
parking meter
bench
bird
cat
dog
horse
sheep
cow
car
elephant
bear
zebra
giraffe
backpack
umbrella
handbag
tie
suitcase
frisbee
motorcycle
skis
snowboard
sports ball
kite
baseball bat
baseball glove
skateboard
surfboard
tennis racket
bottle
airplane
Finished
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glenn-jocher
1d 20h 51m 23s
-
latest
128
-1
disk
/usr/src/app/models/yolov5m.yaml
false
/usr/src/app/data/coco.yaml
from utils.general import download, Path
# Download labels
segments = False # segment or box labels
dir = Path(yaml['path']) # dataset root dir
url = 'https://github.com/ultralytics/yolov5/releases/download/v1.0/'
urls = [url + ('coco2017labels-segments.zip' if segments else 'coco2017labels.zip')] # labels
download(urls, dir=dir.parent)
# Download data
urls = ['http://images.cocodataset.org/zips/train2017.zip', # 19G, 118k images
'http://images.cocodataset.org/zips/val2017.zip', # 1G, 5k images
'http://images.cocodataset.org/zips/test2017.zip'] # 7G, 41k images (optional)
download(urls, dir=dir / 'images', threads=3)
person
bicycle
fire hydrant
stop sign
parking meter
bench
bird
cat
dog
horse
sheep
cow
car
elephant
bear
zebra
giraffe
backpack
umbrella
handbag
tie
suitcase
frisbee
motorcycle
skis
snowboard
sports ball
kite
baseball bat
baseball glove
skateboard
surfboard
tennis racket
bottle
airplane
Finished
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glenn-jocher
1d 20h 40m 23s
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latest
128
-1
disk
/usr/src/app/models/yolov5m-ReLU.yaml
false
/usr/src/app/data/coco.yaml
from utils.general import download, Path
# Download labels
segments = False # segment or box labels
dir = Path(yaml['path']) # dataset root dir
url = 'https://github.com/ultralytics/yolov5/releases/download/v1.0/'
urls = [url + ('coco2017labels-segments.zip' if segments else 'coco2017labels.zip')] # labels
download(urls, dir=dir.parent)
# Download data
urls = ['http://images.cocodataset.org/zips/train2017.zip', # 19G, 118k images
'http://images.cocodataset.org/zips/val2017.zip', # 1G, 5k images
'http://images.cocodataset.org/zips/test2017.zip'] # 7G, 41k images (optional)
download(urls, dir=dir / 'images', threads=3)
person
bicycle
fire hydrant
stop sign
parking meter
bench
bird
cat
dog
horse
sheep
cow
car
elephant
bear
zebra
giraffe
backpack
umbrella
handbag
tie
suitcase
frisbee
motorcycle
skis
snowboard
sports ball
kite
baseball bat
baseball glove
skateboard
surfboard
tennis racket
bottle
airplane
Finished
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glenn-jocher
1d 20h 26m 2s
-
latest
128
-1
disk
/usr/src/app/models/yolov5m-LeakyReLU00.yaml
false
/usr/src/app/data/coco.yaml
from utils.general import download, Path
# Download labels
segments = False # segment or box labels
dir = Path(yaml['path']) # dataset root dir
url = 'https://github.com/ultralytics/yolov5/releases/download/v1.0/'
urls = [url + ('coco2017labels-segments.zip' if segments else 'coco2017labels.zip')] # labels
download(urls, dir=dir.parent)
# Download data
urls = ['http://images.cocodataset.org/zips/train2017.zip', # 19G, 118k images
'http://images.cocodataset.org/zips/val2017.zip', # 1G, 5k images
'http://images.cocodataset.org/zips/test2017.zip'] # 7G, 41k images (optional)
download(urls, dir=dir / 'images', threads=3)
person
bicycle
fire hydrant
stop sign
parking meter
bench
bird
cat
dog
horse
sheep
cow
car
elephant
bear
zebra
giraffe
backpack
umbrella
handbag
tie
suitcase
frisbee
motorcycle
skis
snowboard
sports ball
kite
baseball bat
baseball glove
skateboard
surfboard
tennis racket
bottle
airplane
Finished
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glenn-jocher
1d 21h 25m 37s
-
latest
128
-1
disk
/usr/src/app/models/yolov5m-Sigmoid.yaml
false
/usr/src/app/data/coco.yaml
from utils.general import download, Path
# Download labels
segments = False # segment or box labels
dir = Path(yaml['path']) # dataset root dir
url = 'https://github.com/ultralytics/yolov5/releases/download/v1.0/'
urls = [url + ('coco2017labels-segments.zip' if segments else 'coco2017labels.zip')] # labels
download(urls, dir=dir.parent)
# Download data
urls = ['http://images.cocodataset.org/zips/train2017.zip', # 19G, 118k images
'http://images.cocodataset.org/zips/val2017.zip', # 1G, 5k images
'http://images.cocodataset.org/zips/test2017.zip'] # 7G, 41k images (optional)
download(urls, dir=dir / 'images', threads=3)
person
bicycle
fire hydrant
stop sign
parking meter
bench
bird
cat
dog
horse
sheep
cow
car
elephant
bear
zebra
giraffe
backpack
umbrella
handbag
tie
suitcase
frisbee
motorcycle
skis
snowboard
sports ball
kite
baseball bat
baseball glove
skateboard
surfboard
tennis racket
bottle
airplane
Finished
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glenn-jocher
1d 21h 2m 42s
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latest
128
-1
disk
/usr/src/app/models/yolov5m-Tanh.yaml
false
/usr/src/app/data/coco.yaml
from utils.general import download, Path
# Download labels
segments = False # segment or box labels
dir = Path(yaml['path']) # dataset root dir
url = 'https://github.com/ultralytics/yolov5/releases/download/v1.0/'
urls = [url + ('coco2017labels-segments.zip' if segments else 'coco2017labels.zip')] # labels
download(urls, dir=dir.parent)
# Download data
urls = ['http://images.cocodataset.org/zips/train2017.zip', # 19G, 118k images
'http://images.cocodataset.org/zips/val2017.zip', # 1G, 5k images
'http://images.cocodataset.org/zips/test2017.zip'] # 7G, 41k images (optional)
download(urls, dir=dir / 'images', threads=3)
person
bicycle
fire hydrant
stop sign
parking meter
bench
bird
cat
dog
horse
sheep
cow
car
elephant
bear
zebra
giraffe
backpack
umbrella
handbag
tie
suitcase
frisbee
motorcycle
skis
snowboard
sports ball
kite
baseball bat
baseball glove
skateboard
surfboard
tennis racket
bottle
airplane
Finished
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glenn-jocher
4d 10h 13m 24s
-
latest
128
-1
disk
/usr/src/app/models/yolov5m-SiLU.yaml
false
/usr/src/app/data/coco.yaml
from utils.general import download, Path
# Download labels
segments = False # segment or box labels
dir = Path(yaml['path']) # dataset root dir
url = 'https://github.com/ultralytics/yolov5/releases/download/v1.0/'
urls = [url + ('coco2017labels-segments.zip' if segments else 'coco2017labels.zip')] # labels
download(urls, dir=dir.parent)
# Download data
urls = ['http://images.cocodataset.org/zips/train2017.zip', # 19G, 118k images
'http://images.cocodataset.org/zips/val2017.zip', # 1G, 5k images
'http://images.cocodataset.org/zips/test2017.zip'] # 7G, 41k images (optional)
download(urls, dir=dir / 'images', threads=3)
person
bicycle
fire hydrant
stop sign
parking meter
bench
bird
cat
dog
horse
sheep
cow
car
elephant
bear
zebra
giraffe
backpack
umbrella
handbag
tie
suitcase
frisbee
motorcycle
skis
snowboard
sports ball
kite
baseball bat
baseball glove
skateboard
surfboard
tennis racket
bottle
airplane
Finished
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glenn-jocher
1d 20h 41m 35s
-
latest
128
-1
disk
/usr/src/app/models/yolov5m-LeakyReLU01.yaml
false
/usr/src/app/data/coco.yaml
from utils.general import download, Path
# Download labels
segments = False # segment or box labels
dir = Path(yaml['path']) # dataset root dir
url = 'https://github.com/ultralytics/yolov5/releases/download/v1.0/'
urls = [url + ('coco2017labels-segments.zip' if segments else 'coco2017labels.zip')] # labels
download(urls, dir=dir.parent)
# Download data
urls = ['http://images.cocodataset.org/zips/train2017.zip', # 19G, 118k images
'http://images.cocodataset.org/zips/val2017.zip', # 1G, 5k images
'http://images.cocodataset.org/zips/test2017.zip'] # 7G, 41k images (optional)
download(urls, dir=dir / 'images', threads=3)
person
bicycle
fire hydrant
stop sign
parking meter
bench
bird
cat
dog
horse
sheep
cow
car
elephant
bear
zebra
giraffe
backpack
umbrella
handbag
tie
suitcase
frisbee
motorcycle
skis
snowboard
sports ball
kite
baseball bat
baseball glove
skateboard
surfboard
tennis racket
bottle
airplane
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