orichaclum vein Image Dataset
Versions
2023-11-28 4:19pm
v13
Nov 28, 2023
2023-11-21 2:57pm
v12
Nov 21, 2023
2023-11-21 1:45pm
v11
Nov 21, 2023
2023-11-21 3:21am
v10
Nov 20, 2023
2023-11-21 1:29am
v9
Nov 20, 2023
2023-11-19 10:22am
v8
Nov 19, 2023
2023-11-06 12:28am
v7
Nov 5, 2023
2023-11-05 8:18pm
v6
Nov 5, 2023
2023-10-28 6:44pm
v5
Oct 28, 2023
2023-10-28 6:36pm
v4
Oct 28, 2023
2023-10-28 11:37am
v3
Oct 28, 2023
2023-10-28 2:08am
v2
Oct 27, 2023
2023-10-27 2:56pm
v1
Oct 27, 2023
v3
2023-10-28 11:37am
Generated on Oct 28, 2023
Popular Download Formats
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 and Tensorflow 2.0 Object Detection models.
PaliGemma
PaliGemma JSONL format used for fine-tuning PaliGemma, Google's open multimodal vision model.
CreateML JSON
CreateML JSON format is used with Apple's CreateML and Turi Create tools.
Other Formats
Choose another format.
660 Total Images
View All Images
Dataset Split
Train Set 93%
615Images
Valid Set 5%
35Images
Test Set 2%
10Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 25% of images
Hue: Between -25° and +25°
Brightness: Between -25% and +25%
Blur: Up to 2.5px
Noise: Up to 5% of pixels
Mosaic: Applied
Bounding Box: Flip: Horizontal
Bounding Box: Blur: Up to 2.5px
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