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keremberke
/
yolov8m-table-extraction
like
28
Object Detection
TensorBoard
PyTorch
keremberke/table-extraction
ultralytics
v8
ultralyticsplus
yolov8
yolo
vision
awesome-yolov8-models
Eval Results
License:
agpl-3.0
Model card
Files
Files and versions
Metrics
Training metrics
Community
2
main
yolov8m-table-extraction
2 contributors
History:
8 commits
keremberke
glenn-jocher
Update to AGPL-3.0 License (
#1
)
8826513
verified
3 months ago
.gitattributes
1.48 kB
initial commit
over 1 year ago
README.md
1.73 kB
Update to AGPL-3.0 License (#1)
3 months ago
best.pt
pickle
Detected Pickle imports (24)
"ultralytics.nn.modules.Detect"
,
"ultralytics.nn.modules.C2f"
,
"torch.nn.modules.batchnorm.BatchNorm2d"
,
"torch.nn.modules.container.ModuleList"
,
"torch.HalfStorage"
,
"ultralytics.nn.modules.Bottleneck"
,
"__builtin__.set"
,
"collections.OrderedDict"
,
"torch.FloatStorage"
,
"torch.nn.modules.conv.Conv2d"
,
"torch.Size"
,
"ultralytics.nn.modules.DFL"
,
"ultralytics.nn.modules.SPPF"
,
"torch.nn.modules.upsampling.Upsample"
,
"ultralytics.yolo.utils.IterableSimpleNamespace"
,
"torch.LongStorage"
,
"torch._utils._rebuild_tensor_v2"
,
"torch._utils._rebuild_parameter"
,
"ultralytics.nn.modules.Concat"
,
"torch.nn.modules.pooling.MaxPool2d"
,
"ultralytics.nn.tasks.DetectionModel"
,
"torch.nn.modules.activation.SiLU"
,
"ultralytics.nn.modules.Conv"
,
"torch.nn.modules.container.Sequential"
How to fix it?
52 MB
LFS
Upload yolov8 best model
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config.json
161 Bytes
add ultralyticsplus config
over 1 year ago
events.out.tfevents.1674965488.ovyeman.33996.9
40 Bytes
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thumbnail.jpg
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upload sample visuals
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