yolotest Image Dataset
Versions
2024-01-21 10:06pm
v10
Jan 21, 2024
2024-01-21 10:04pm
v9
Jan 21, 2024
2024-01-21 10:00pm
v8
Jan 21, 2024
2024-01-21 9:40pm
v7
Jan 21, 2024
2024-01-21 9:21pm
v6
Jan 21, 2024
2022-05-27 4:50am
v5
May 26, 2022
2022-05-22 9:48am
v4
May 22, 2022
2022-05-22 9:48am
v3
May 22, 2022
2022-05-22 9:45am
v2
May 22, 2022
2022-05-22 9:43am
v1
May 22, 2022
v7
2024-01-21 9:40pm
Generated on Jan 21, 2024
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.
35 Total Images
View All Images
Dataset Split
Train Set 86%
30Images
Valid Set 9%
3Images
Test Set 6%
2Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 2
Rotation: Between -15° and +15°
Shear: ±18° Horizontal, ±15° Vertical
Hue: Between -101° and +101°
Bounding Box: Crop: 0% Minimum Zoom, 60% Maximum Zoom
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