multi l1-l3 Image Dataset
Versions
2023-03-23 7:24am
v15
Mar 23, 2023
2023-03-11 1:24pm
v14
Mar 11, 2023
2022-10-05 1:23pm
v13
Oct 5, 2022
2022-08-22 8:51am
v12
Aug 22, 2022
mentah_aug
v11
Mar 20, 2022
mentah_augmentation
v10
Mar 20, 2022
2022-03-21 3:41am
v9
Mar 20, 2022
mentah_416
v8
Mar 20, 2022
mentah_split
v7
Mar 20, 2022
2022-02-22 6:27am
v5
Feb 21, 2022
2022-02-22 6:20am
v4
Feb 21, 2022
no edit
v3
Feb 20, 2022
2022-01-30 6:57pm
v2
Jan 30, 2022
2022-01-30 5:21pm
v1
Jan 30, 2022
v11
mentah_aug
Generated on Mar 20, 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.
900 Total Images
View All Images
Dataset Split
Train Set 100%
900Images
Valid Set %
0Images
Test Set %
0Images
Preprocessing
Resize: Stretch to 416x416
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -10° and +10°
Shear: ±10° Horizontal, ±10° Vertical
Noise: Up to 1% of pixels
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