Allergic-fruit Image Dataset
Versions
2023-05-16 1:46am
v17
May 16, 2023
2023-05-14 9:02pm
v16
May 15, 2023
2023-05-14 7:42pm
v15
May 15, 2023
2023-05-10 8:14pm
v14
May 11, 2023
2023-05-10 8:05pm
v13
May 11, 2023
2023-05-08 4:09pm
v12
May 8, 2023
2023-05-08 4:06pm
v11
May 8, 2023
2023-05-03 10:29am
v10
May 3, 2023
2023-05-02 12:11pm
v9
May 2, 2023
2023-05-01 11:45pm
v8
May 2, 2023
2023-04-30 4:28pm
v7
Apr 30, 2023
2023-04-27 4:10pm
v6
Apr 27, 2023
2023-04-25 2:17pm
v4
Apr 25, 2023
2023-04-24 10:56pm
v3
Apr 25, 2023
2023-04-23 7:27pm
v2
Apr 24, 2023
2023-04-23 7:20pm
v1
Apr 24, 2023
v17
2023-05-16 1:46am
Generated on May 16, 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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12061 Total Images
View All Images
Dataset Split
Train Set 92%
11110Images
Valid Set 5%
635Images
Test Set 3%
316Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Modify Classes: 26 remapped, 3 dropped
Augmentations
Outputs per training example: 5
Grayscale: Apply to 3% of images
Saturation: Between -5% and +5%
Brightness: Between -10% and +10%
Exposure: Between -10% and +10%
Blur: Up to 0.5px
Noise: Up to 1% of pixels
Mosaic: Applied
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