Octolive Image Dataset
Versions
2023-01-25 2:39pm
v10
Jan 25, 2023
2023-01-19 12:48am
v9
Jan 18, 2023
2023-01-18 11:56pm
v8
Jan 18, 2023
2023-01-18 8:45pm
v7
Jan 18, 2023
2022-12-26 2:14pm
v6
Dec 26, 2022
2022-12-26 1:32pm
v5
Dec 26, 2022
2022-12-26 1:31pm
v4
Dec 26, 2022
2022-12-23 11:42am
v3
Dec 23, 2022
2022-12-09 4:02pm
v2
Dec 9, 2022
2022-12-09 3:49pm
v1
Dec 9, 2022
v1
2022-12-09 3:49pm
Generated on Dec 9, 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
Choose another format.
63 Total Images
View All Images
Dataset Split
Train Set 95%
60Images
Valid Set 2%
1Images
Test Set 3%
2Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
Crop: 0% Minimum Zoom, 51% Maximum Zoom
Shear: ±25° Horizontal, ±30° Vertical
Blur: Up to 5.5px
Noise: Up to 7% of pixels
Mosaic: Applied
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