YoloV5-container Image Dataset
Versions
2022-11-02 3:18pm
v22
Nov 2, 2022
2022-08-05 9:13pm
v21
Aug 5, 2022
2022-08-05 9:09pm
v20
Aug 5, 2022
2022-07-24 11:01am
v19
Jul 24, 2022
version18
v18
Jan 16, 2022
version17
v17
Jan 16, 2022
yolov16
v16
Jan 15, 2022
yolov15
v14
Jan 15, 2022
yolov14
v13
Jan 15, 2022
test_hay
v12
Jan 14, 2022
nono
v10
Jan 14, 2022
2022-01-14 9:55am
v9
Jan 14, 2022
yolov5v7new
v8
Dec 22, 2021
yolov5ver5
v6
Dec 21, 2021
yolo5ver3
v3
Dec 21, 2021
yolov5ver2
v2
Dec 21, 2021
v6
yolov5ver5
Generated on Dec 21, 2021
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
Choose another format.
3339 Total Images
View All Images
Dataset Split
Train Set 90%
3006Images
Valid Set 7%
239Images
Test Set 3%
94Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Rotation: Between -9° and +9°
Shear: ±17° Horizontal, ±17° Vertical
Blur: Up to 3.25px
Noise: Up to 5% of pixels
Cutout: 7 boxes with 18% size each
Bounding Box: Flip: Horizontal, Vertical
Bounding Box: Crop: 4% Minimum Zoom, 34% Maximum Zoom
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