T03 Proyecto Celula Dataset ampliado Image Dataset
Versions
Primer proyecto
v34
Jun 11, 2022
Proyecto 1
v33
Jun 11, 2022
No daug 1664
v32
Jun 6, 2022
Trainset normal daug 1664
v31
Jun 6, 2022
2022-06-06 1:43pm
v30
Jun 6, 2022
Trainset bbox daug 1664
v29
Jun 6, 2022
Validset no daug 416 22 img
v28
Jun 5, 2022
trainset normal daug 416 88 img
v27
Jun 5, 2022
trainset bbox daug 416 88 img
v26
Jun 5, 2022
Trainset Bbox Daug 1600 88 img
v25
Apr 20, 2022
Trainset normal Daug 1600 88 img
v24
Apr 20, 2022
Dataset normal Daug 1600 72 img
v23
Apr 20, 2022
Train set no data aug split by 4 416
v22
Apr 19, 2022
Train set split by 4 416 Normal DAug No noise
v21
Apr 19, 2022
Dataset split by 4 416 Normal DAug NO noise
v20
Apr 19, 2022
Dataset split by 4 416 Normal DAug
v19
Apr 19, 2022
Dataset split by 4 All Bbox 416
v18
Apr 19, 2022
Dataset split by 4 All Bbox
v16
Apr 19, 2022
Dataset 220 img All Bbox
v15
Apr 18, 2022
Dataset NoDAug 1664 22 img
v13
Apr 18, 2022
Dataset Aug All Bbox 1664
v12
Apr 18, 2022
Dataset Aug All Bbox 1600
v11
Apr 7, 2022
Dataset Aug Rotate 1600
v10
Apr 7, 2022
Dataset Aug Crop 1600
v9
Apr 7, 2022
Dataset Aug 90 rotate 1600
v8
Apr 7, 2022
D N Aug 1600 22img
v7
Apr 4, 2022
2022-04-04 2:11pm
v6
Apr 4, 2022
Dataset Aug Flip 1600
v5
Apr 4, 2022
Dataset No DAug 1600
v4
Apr 4, 2022
Dataset No DAug
v3
Apr 1, 2022
2022-04-01 7:53pm
v2
Apr 1, 2022
2022-04-01 7:52pm
v1
Apr 1, 2022
v31
Trainset normal daug 1664
Generated on Jun 6, 2022
Popular Download Formats
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.
MT-YOLOv6
MT-YOLOv6 TXT annotations used with meituan/YOLOv6.
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.
CreateML JSON
CreateML JSON format is used with Apple's CreateML and Turi Create tools.
Other Formats
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66 Total Images
View All Images
Dataset Split
Train Set 100%
66Images
Valid Set %
0Images
Test Set %
0Images
Preprocessing
Resize: Fit (black edges) in 1664x1664
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise
Crop: 15% Minimum Zoom, 40% Maximum Zoom
Rotation: Between -30° and +30°
Shear: ±15° Horizontal, ±15° Vertical
Brightness: Between -10% and +10%
Exposure: Between -5% and +5%
Blur: Up to 1px
Noise: Up to 2% of pixels
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