breast cancer Image Dataset
Versions
2024-02-07 9:12am
v11
· 5 months ago
2024-02-07 7:21am
v10
· 5 months ago
2024-02-07 7:20am
v9
· 5 months ago
2024-02-07 7:19am
v8
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v7
· 5 months ago
2024-02-07 7:18am
v6
· 5 months ago
2024-02-07 7:17am
v5
· 5 months ago
2024-02-07 7:17am
v4
· 5 months ago
2024-02-07 7:16am
v3
· 5 months ago
2024-02-07 7:15am
v2
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2024-02-07 7:15am
v1
· 5 months ago
v6
2024-02-07 7:18am
Generated on Feb 7, 2024
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YOLOv9
TXT annotations and YAML config used with YOLOv9.
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TXT annotations and YAML config used with YOLOv5.
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TXT annotations and YAML config used with YOLOv7.
COCO JSON
COCO JSON annotations are used with EfficientDet Pytorch and Detectron 2.
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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 and Tensorflow 2.0 Object Detection models.
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PaliGemma JSONL format used for fine-tuning PaliGemma, Google's open multimodal vision model.
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461 Total Images
View All Images
Dataset Split
Train Set 70%
323Images
Valid Set 22%
100Images
Test Set 8%
38Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 320x320
Augmentations
Outputs per training example: 3
Flip: Horizontal
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