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keremberke
/
yolov8n-valorant-detection
like
1
Object Detection
TensorBoard
PyTorch
keremberke/valorant-object-detection
ultralytics
v8
ultralyticsplus
yolov8
yolo
vision
awesome-yolov8-models
Eval Results
Model card
Files
Files and versions
Metrics
Training metrics
Community
c9ec06c
yolov8n-valorant-detection
1 contributor
History:
12 commits
keremberke
Upload yolov8 tensorboard logs
c9ec06c
almost 2 years ago
.gitattributes
1.48 kB
initial commit
almost 2 years ago
README.md
1.79 kB
add ultralytics model card
almost 2 years ago
best.pt
pickle
Detected Pickle imports (24)
"__builtin__.set"
,
"torch._utils._rebuild_tensor_v2"
,
"ultralytics.nn.tasks.DetectionModel"
,
"torch.nn.modules.upsampling.Upsample"
,
"torch.HalfStorage"
,
"ultralytics.nn.modules.Detect"
,
"torch._utils._rebuild_parameter"
,
"ultralytics.nn.modules.C2f"
,
"torch.Size"
,
"ultralytics.nn.modules.Concat"
,
"torch.nn.modules.activation.SiLU"
,
"ultralytics.nn.modules.SPPF"
,
"collections.OrderedDict"
,
"torch.nn.modules.batchnorm.BatchNorm2d"
,
"torch.FloatStorage"
,
"torch.nn.modules.conv.Conv2d"
,
"ultralytics.yolo.utils.IterableSimpleNamespace"
,
"ultralytics.nn.modules.DFL"
,
"torch.LongStorage"
,
"torch.nn.modules.container.Sequential"
,
"torch.nn.modules.pooling.MaxPool2d"
,
"ultralytics.nn.modules.Conv"
,
"ultralytics.nn.modules.Bottleneck"
,
"torch.nn.modules.container.ModuleList"
How to fix it?
6.23 MB
LFS
Upload yolov8 best model
almost 2 years ago
config.json
161 Bytes
add ultralyticsplus config
almost 2 years ago
events.out.tfevents.1674932162.ovyeman.2404.8
210 kB
LFS
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almost 2 years ago
thumbnail.jpg
910 kB
upload sample visuals
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