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o_cancer/7 (latest)
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o_cancer
Object Detection
Overview
Images
391
Dataset
7
Model
2
API Docs
Analytics
Dataset Versions
Try Pre-Trained Model
Versions
2023-08-25 1:17pm
v9
·
2 years ago
2023-08-15 8:38pm
v8
·
2 years ago
2023-08-14 8:27pm
v7
·
2 years ago
2023-08-04 12:18am
v6
·
2 years ago
2023-07-26 3:08pm
v5
·
2 years ago
2023-06-28 10:40am
v3
·
2 years ago
2023-06-22 12:00am
v1
·
2 years ago
v9
2023-08-25 1:17pm
Generated on Aug 25, 2023
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YOLOv11
TXT annotations and YAML config
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YOLOv9
TXT annotations and YAML config
used with
YOLOv9
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YOLOv8
TXT annotations and YAML config
used with
YOLOv8
.
YOLOv5
TXT annotations and YAML config
used with
YOLOv5
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YOLOv7
TXT annotations and YAML config
used with
YOLOv7
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COCO JSON
COCO JSON annotations
are used with
EfficientDet Pytorch
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YOLOv3 PyTorch
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Pascal VOC XML
Common
XML annotation format
for local data munging (pioneered by ImageNet).
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TFRecord binary format
used for both
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PaliGemma
PaliGemma JSONL format
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2624
Total Images
View All Images
Dataset Split
Train Set
84%
2208
Images
Valid Set
10%
264
Images
Test Set
6%
152
Images
Preprocessing
Auto-Orient:
Applied
Resize:
Stretch to 640x320
Tile:
2 rows x 2 columns
Modify Classes:
0 remapped, 8 dropped
Augmentations
Outputs per training example:
2
Flip:
Horizontal, Vertical
Rotation:
Between -3° and +3°
Bounding Box: Flip:
Horizontal
Bounding Box: 90° Rotate:
Clockwise, Counter-Clockwise
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