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metal-surface-defects-pmvcn/4
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metal surface defects
Object Detection
Overview
Images
3109
Dataset
9
Model
5
API Docs
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Dataset Versions
Try Pre-Trained Model
Versions
2024-12-15 7:45pm
v14
·
2 months ago
2024-10-16 7:57pm
v13
·
4 months ago
2024-10-16 7:12pm
v12
·
4 months ago
2024-10-13 2:44pm
v11
·
4 months ago
2024-10-12 10:46am
v10
·
4 months ago
2024-09-22 12:53pm
v6
·
4 months ago
2024-09-21 6:45pm
v4
·
4 months ago
2024-09-21 1:13pm
v2
·
4 months ago
2024-09-20 6:26am
v1
·
4 months ago
v4
2024-09-21 6:45pm
Generated on Sep 21, 2024
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Dataset
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YOLOv11
TXT annotations and YAML config
used with
YOLOv11
.
YOLOv9
TXT annotations and YAML config
used with
YOLOv9
.
YOLOv8
TXT annotations and YAML config
used with
YOLOv8
.
YOLOv5
TXT annotations and YAML config
used with
YOLOv5
.
YOLOv7
TXT annotations and YAML config
used with
YOLOv7
.
COCO JSON
COCO JSON annotations
are used with
EfficientDet Pytorch
and
Detectron 2
.
YOLO Darknet
Darknet TXT annotations
used with
YOLO Darknet
(both v3 and v4) and
YOLOv3 PyTorch
.
Pascal VOC XML
Common
XML annotation format
for local data munging (pioneered by ImageNet).
TFRecord
TFRecord binary format
used for both
Tensorflow 1.5
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Tensorflow 2.0 Object Detection
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PaliGemma
PaliGemma JSONL format
used for fine-tuning
PaliGemma
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CreateML JSON format
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5366
Total Images
View All Images
Dataset Split
Train Set
84%
4520
Images
Valid Set
10%
522
Images
Test Set
6%
324
Images
Preprocessing
Auto-Orient:
Applied
Resize:
Stretch to 640x640
Auto-Adjust Contrast:
Using Adaptive Equalization
Augmentations
Outputs per training example:
2
Flip:
Horizontal
Rotation:
Between -15° and +15°
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