Dynamite Duelers Project Image Dataset
Versions
2022-08-05 1:06am
v42
Aug 5, 2022
2022-08-05 12:58am
v41
Aug 5, 2022
2022-08-05 12:54am
v40
Aug 5, 2022
2022-08-04 11:57pm
v39
Aug 5, 2022
2022-08-04 5:12pm
v38
Aug 5, 2022
2022-08-04 4:35pm
v37
Aug 4, 2022
2022-08-04 12:10am
v36
Aug 4, 2022
2022-08-04 12:07am
v35
Aug 4, 2022
2022-08-02 9:47pm
v34
Aug 3, 2022
2022-08-02 7:54pm
v33
Aug 3, 2022
2022-08-01 1:07pm
v32
Aug 1, 2022
2022-07-29 10:47am
v31
Jul 29, 2022
2022-07-28 6:42pm
v30
Jul 29, 2022
2022-07-28 3:18pm
v29
Jul 28, 2022
2022-07-28 1:36pm
v28
Jul 28, 2022
2022-07-27 3:03pm
v27
Jul 27, 2022
2022-07-27 3:03pm
v26
Jul 27, 2022
2022-07-27 2:19pm
v25
Jul 27, 2022
2022-07-27 11:55am
v24
Jul 27, 2022
2022-07-27 11:26am
v23
Jul 27, 2022
2022-07-26 1:40pm
v22
Jul 26, 2022
2022-07-25 1:06pm
v21
Jul 25, 2022
2022-07-25 8:45am
v20
Jul 25, 2022
2022-07-25 8:21am
v19
Jul 25, 2022
2022-07-25 8:20am
v18
Jul 25, 2022
2022-07-25 8:11am
v17
Jul 25, 2022
2022-07-25 8:05am
v16
Jul 25, 2022
2022-07-23 4:32pm
v15
Jul 23, 2022
2022-07-22 2:17pm
v14
Jul 22, 2022
2022-07-22 1:45pm
v13
Jul 22, 2022
2022-07-22 1:32pm
v12
Jul 22, 2022
2022-07-22 1:31pm
v11
Jul 22, 2022
2022-07-22 1:30pm
v10
Jul 22, 2022
2022-07-22 11:56am
v9
Jul 22, 2022
2022-07-22 10:50am
v8
Jul 22, 2022
2022-07-21 5:52pm
v7
Jul 22, 2022
2022-07-21 2:46pm
v6
Jul 21, 2022
2022-07-21 2:40pm
v5
Jul 21, 2022
2022-07-21 1:56pm
v4
Jul 21, 2022
2022-07-21 1:48pm
v3
Jul 21, 2022
2022-07-21 1:43pm
v2
Jul 21, 2022
2022-07-21 1:35pm
v1
Jul 21, 2022
v42
2022-08-05 1:06am
Generated on Aug 5, 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.
4857 Total Images
View All Images
Dataset Split
Train Set 85%
4148Images
Valid Set 9%
461Images
Test Set 5%
248Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 416x416
Auto-Adjust Contrast: Using Adaptive Equalization
Augmentations
Outputs per training example: 3
Bounding Box: Rotation: Between -15° and +15°
Bounding Box: Shear: ±15° Horizontal, ±15° Vertical
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