chardetectx Image Dataset
Versions
2023-08-19 1:35pm
v33
Aug 19, 2023
2023-07-22 7:22pm
v32
Jul 22, 2023
2023-04-07 10:25am
v31
Apr 7, 2023
2023-02-16 7:06pm
v30
Feb 16, 2023
2023-02-07 9:54am
v28
Feb 7, 2023
2023-02-07 9:53am
v27
Feb 7, 2023
2023-02-06 9:38pm
v26
Feb 6, 2023
2023-02-06 9:37pm
v25
Feb 6, 2023
2023-02-06 9:37pm
v24
Feb 6, 2023
2023-02-06 10:57am
v23
Feb 6, 2023
2023-02-06 10:54am
v22
Feb 6, 2023
2023-02-06 10:53am
v21
Feb 6, 2023
2023-02-05 9:30pm
v20
Feb 5, 2023
2023-02-05 9:29pm
v19
Feb 5, 2023
2023-02-05 9:29pm
v18
Feb 5, 2023
2023-02-05 4:09pm
v17
Feb 5, 2023
2023-02-05 4:08pm
v16
Feb 5, 2023
2023-02-05 4:07pm
v15
Feb 5, 2023
2023-02-05 4:06pm
v14
Feb 5, 2023
2022-11-30 10:45pm
v13
Nov 30, 2022
2022-11-30 10:45pm
v12
Nov 30, 2022
2022-11-30 10:44pm
v11
Nov 30, 2022
2022-11-29 2:51pm
v10
Nov 29, 2022
2022-11-29 2:51pm
v9
Nov 29, 2022
2022-11-29 2:50pm
v8
Nov 29, 2022
2022-11-29 2:05pm
v7
Nov 29, 2022
2022-11-29 2:05pm
v6
Nov 29, 2022
2022-11-29 2:05pm
v5
Nov 29, 2022
2022-11-29 12:13pm
v4
Nov 29, 2022
2022-11-29 12:05pm
v3
Nov 29, 2022
2022-11-29 12:05pm
v2
Nov 29, 2022
2022-11-29 12:05pm
v1
Nov 29, 2022
v33
2023-08-19 1:35pm
Generated on Aug 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.
917 Total Images
View All ImagesDataset Split
Train Set 84%
766Images
Valid Set 15%
133Images
Test Set 2%
18Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 2
Rotation: Between -3° and +3°
Shear: ±3° Horizontal, ±3° Vertical
Exposure: Between -10% and +10%
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