Food Waste Detection Image Dataset
Versions
all-class-simplified-v11
v11
Jun 6, 2022
all-class-simplified-v10
v10
May 6, 2022
all-class-simplified-fruits-v8
v8
Apr 14, 2022
all-class-simplified-v7
v7
Mar 25, 2022
all-class-simplified-v6
v6
Mar 10, 2022
all-class-simplified-v5
v5
Feb 16, 2022
all-class-simplified-v2
v2
Feb 10, 2022
all-class-v1
v1
Feb 8, 2022
v8
all-class-simplified-fruits-v8
Generated on Apr 14, 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.
Other Formats
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4793 Total Images
View All Images
Dataset Split
Train Set 97%
4632Images
Valid Set 3%
159Images
Test Set 0%
2Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Modify Classes: 2 remapped, 6 dropped
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Saturation: Between -15% and +15%
Exposure: Between -15% and +15%
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