Object-detection-orientation Image Dataset
Versions
2023-03-06 9:02am
v15
Mar 6, 2023
2023-02-27 12:15pm
v14
Feb 27, 2023
2022-12-26 8:36pm
v13
Dec 26, 2022
2022-12-26 8:36pm
v12
Dec 26, 2022
wahiba
v11
Dec 26, 2022
2022-12-26 7:58pm
v10
Dec 26, 2022
2022-12-08 9:06pm
v9
Dec 8, 2022
2022-12-08 8:35pm
v8
Dec 8, 2022
2022-12-08 8:33pm
v7
Dec 8, 2022
2022-12-06 6:17pm
v6
Dec 6, 2022
2022-12-05 10:26am
v5
Dec 5, 2022
2022-12-05 10:27am
v4
Dec 5, 2022
2022-12-05 10:26am
v3
Dec 5, 2022
2022-12-05 8:56am
v2
Dec 5, 2022
2022-12-04 7:18pm
v1
Dec 4, 2022
v15
2023-03-06 9:02am
Generated on Mar 6, 2023
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.
1851 Total Images
View All Images
Dataset Split
Train Set 95%
1758Images
Valid Set 4%
72Images
Test Set 1%
21Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Crop: 9% Minimum Zoom, 9% Maximum Zoom
Brightness: Between -15% and +15%
Blur: Up to 0.5px
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