Yolov5 Image Dataset
Versions
2023-06-12 7:04pm
v46
Jun 12, 2023
2023-06-10 1:21pm
v44
Jun 10, 2023
2023-06-05 7:41am
v43
Jun 5, 2023
2023-06-04 7:47am
v42
Jun 4, 2023
2023-06-03 5:04pm
v41
Jun 3, 2023
2023-06-02 5:54pm
v40
Jun 2, 2023
2023-05-29 11:13am
v39
May 29, 2023
2023-05-27 10:44am
v38
May 27, 2023
2023-05-21 7:27pm
v33
May 21, 2023
2023-05-17 6:56pm
v32
May 17, 2023
2023-05-17 6:56pm
v31
May 17, 2023
2023-05-17 6:54pm
v30
May 17, 2023
2023-05-17 6:46pm
v29
May 17, 2023
2023-05-17 8:37am
v28
May 17, 2023
2023-05-16 4:00pm
v27
May 16, 2023
2023-05-16 11:33am
v26
May 16, 2023
2023-05-16 11:31am
v25
May 16, 2023
2023-05-16 11:29am
v24
May 16, 2023
2023-05-16 11:29am
v23
May 16, 2023
2023-05-10 1:10pm
v22
May 10, 2023
2023-05-01 10:13am
v21
May 1, 2023
2023-04-25 7:21pm
v20
Apr 25, 2023
2023-04-23 8:16pm
v19
Apr 23, 2023
2023-04-23 10:06am
v18
Apr 23, 2023
2023-04-22 10:31am
v17
Apr 22, 2023
2023-04-09 10:01pm
v16
Apr 9, 2023
2023-04-02 3:23pm
v15
Apr 2, 2023
2023-03-22 8:08am
v14
Mar 22, 2023
2023-03-21 4:20pm
v13
Mar 21, 2023
2023-03-21 8:43am
v12
Mar 21, 2023
2023-03-20 11:15am
v11
Mar 20, 2023
2023-03-20 8:32am
v10
Mar 20, 2023
2023-03-19 9:01am
v9
Mar 19, 2023
2023-03-18 9:05pm
v8
Mar 18, 2023
2023-03-16 4:19pm
v7
Mar 16, 2023
2023-03-16 9:53am
v6
Mar 16, 2023
2023-03-15 6:31pm
v5
Mar 15, 2023
2023-03-15 6:17pm
v4
Mar 15, 2023
2023-03-15 5:35pm
v3
Mar 15, 2023
2023-03-15 5:17pm
v2
Mar 15, 2023
2023-03-15 4:11pm
v1
Mar 15, 2023
v22
2023-05-10 1:10pm
Generated on May 10, 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.
1772 Total Images
View All Images
Dataset Split
Train Set 86%
1522Images
Valid Set 14%
250Images
Test Set %
0Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
Brightness: Between -50% and +0%
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