Gargabe Classification Image Dataset
Versions
2023-06-01 3:15pm
v11
Jun 1, 2023
2023-05-25 12:19am
v10
May 24, 2023
2023-05-25 12:18am
v9
May 24, 2023
2023-05-18 10:00am
v8
May 18, 2023
2023-05-16 8:30pm
v7
May 16, 2023
2023-05-15 4:31pm
v6
May 15, 2023
2023-05-12 11:26am
v5
May 12, 2023
2023-05-07 12:21pm
v4
May 7, 2023
2023-05-06 10:31pm
v3
May 6, 2023
2023-05-03 10:46am
v2
May 3, 2023
2023-05-01 12:10am
v1
Apr 30, 2023
v11
2023-06-01 3:15pm
Generated on Jun 1, 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
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4843 Total Images
View All Images
Dataset Split
Train Set 87%
4227Images
Valid Set 8%
398Images
Test Set 5%
218Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Grayscale: Applied
Augmentations
Outputs per training example: 3
Rotation: Between -15° and +15°
Grayscale: Apply to 25% of images
Hue: Between -80° and +80°
Saturation: Between -46% and +46%
Brightness: Between -25% and +25%
Exposure: Between -8% and +8%
Blur: Up to 2.5px
Cutout: 8 boxes with 4% size each
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