Normal blood vessels Image Dataset
Versions
2024-06-28 2:44am
v10
· 3 days ago
2024-06-28 2:43am
v9
· 3 days ago
2024-06-11 3:58pm
v8
· 20 days ago
2024-06-11 11:03am
v7
· 20 days ago
2024-06-11 10:49am
v6
· 20 days ago
2024-06-11 9:53am
v5
· 20 days ago
2024-06-04 6:45pm
v4
· a month ago
2024-06-04 2:20pm
v3
· a month ago
2023-12-27 10:49am
v1
· 6 months ago
v10
2024-06-28 2:44am
Generated on Jun 28, 2024
Popular Download Formats
YOLOv9
TXT annotations and YAML config used with YOLOv9.
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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 and Tensorflow 2.0 Object Detection models.
PaliGemma
PaliGemma JSONL format used for fine-tuning PaliGemma, Google's open multimodal vision model.
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3197 Total Images
View All Images
Dataset Split
Train Set 82%
2616Images
Valid Set 9%
290Images
Test Set 9%
291Images
Preprocessing
No preprocessing steps were applied.
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%
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