depth-estimation Image Dataset
Versions
2023-07-19 7:05pm
v17
Jul 19, 2023
Final Dataset
v16
Jul 18, 2023
2023-07-18 9:37pm
v15
Jul 18, 2023
2023-07-12 2:39pm
v14
Jul 12, 2023
2023-07-12 2:39pm
v13
Jul 12, 2023
2023-07-12 2:20pm
v12
Jul 12, 2023
2023-07-03 12:12pm
v9
Jul 3, 2023
2023-07-01 7:47pm
v8
Jul 1, 2023
2023-06-30 9:24pm
v7
Jun 30, 2023
2023-06-30 9:22pm
v6
Jun 30, 2023
2023-06-28 10:12am
v5
Jun 28, 2023
2023-06-26 9:56am
v4
Jun 26, 2023
2023-06-25 7:37am
v3
Jun 25, 2023
v17
2023-07-19 7:05pm
Generated on Jul 19, 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.
16991 Total Images
View All Images
Dataset Split
Train Set 82%
13982Images
Valid Set 9%
1499Images
Test Set 9%
1510Images
Preprocessing
No preprocessing steps were applied.
Augmentations
Outputs per training example: 2
Flip: Horizontal
Saturation: Between -25% and +25%
Brightness: Between -30% and +30%
Blur: Up to 1.75px
Noise: Up to 8% of pixels
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