New Data for Mulhim Image Dataset
Versions
2023-04-06 10:50am
v15
Apr 6, 2023
2023-04-05 1:53pm
v14
Apr 5, 2023
2023-03-28 arslan_soldier
v13
Mar 28, 2023
2023-03-28 arslan_person
v12
Mar 28, 2023
2023-03-27 arslan_Military
v11
Mar 27, 2023
2023-03-27 arslan Civilian
v10
Mar 27, 2023
2023-02-20 4:03pm
v9
Feb 20, 2023
6939_grenade_null
v8
Feb 7, 2023
6750_grenade_null
v7
Jan 30, 2023
6750_grenade_null
v6
Jan 30, 2023
4427
v5
Jan 16, 2023
Coco json
v4
Jan 2, 2023
Without augmentation
v3
Jan 2, 2023
2022-12-28 11:24am
v2
Dec 28, 2022
2022-12-28 11:20am
v1
Dec 28, 2022
v2
2022-12-28 11:24am
Generated on Dec 28, 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.
4785 Total Images
View All Images
Dataset Split
Train Set 94%
4500Images
Valid Set 4%
184Images
Test Set 2%
101Images
Preprocessing
No preprocessing steps were applied.
Augmentations
Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise
Rotation: Between -15° and +15°
Exposure: Between -25% and +25%
Bounding Box: Brightness: Between -25% and +25%
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