Final_Lave_Vaisselle_Project Image Dataset
Versions
2022-01-17 3:18pm
v27
Jan 17, 2022
2022-01-17 3:18pm
v26
Jan 17, 2022
2022-01-16 2:27pm
v25
Jan 16, 2022
2022-01-16 10:17am
v24
Jan 16, 2022
2022-01-15 6:08pm
v23
Jan 15, 2022
2022-01-15 5:53pm
v22
Jan 15, 2022
2022-01-15 5:48pm
v21
Jan 15, 2022
2022-01-15 1:05pm
v20
Jan 15, 2022
2022-01-14 5:01pm
v19
Jan 14, 2022
2022-01-14 4:22pm
v18
Jan 14, 2022
2022-01-14 4:07pm
v17
Jan 14, 2022
2022-01-14 4:04pm
v16
Jan 14, 2022
2022-01-14 4:03pm
v15
Jan 14, 2022
2022-01-14 1:59pm
v14
Jan 14, 2022
2022-01-14 1:47pm
v13
Jan 14, 2022
2022-01-14 1:46pm
v12
Jan 14, 2022
2022-01-14 1:08pm
v11
Jan 14, 2022
2022-01-14 9:55am
v10
Jan 14, 2022
2022-01-12 1:26pm
v9
Jan 12, 2022
2022-01-07 1:06pm
v8
Jan 7, 2022
2022-01-07 1:02pm
v7
Jan 7, 2022
2022-01-07 12:58pm
v6
Jan 7, 2022
2022-01-07 12:47pm
v5
Jan 7, 2022
2022-01-07 12:46pm
v4
Jan 7, 2022
2021-12-22 1:15pm
v3
Dec 22, 2021
2021-12-21 4:33pm
v2
Dec 21, 2021
2021-12-21 11:18am
v1
Dec 21, 2021
v24
2022-01-16 10:17am
Generated on Jan 16, 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.
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1134 Total Images
View All Images
Dataset Split
Train Set 88%
995Images
Valid Set 8%
94Images
Test Set 4%
45Images
Preprocessing
Auto-Orient: Applied
Resize: Fit (black edges) in 416x416
Augmentations
Outputs per training example: 3
Flip: Horizontal
Saturation: Between -25% and +25%
Brightness: Between -25% and +0%
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