New candy Image Dataset
Versions
cluster
v16
Jan 6, 2022
2022-01-06 7:03pm
v15
Jan 6, 2022
2022-01-06 6:59pm
v14
Jan 6, 2022
2022-01-06 6:55pm
v13
Jan 6, 2022
with standing
v12
Jan 1, 2022
test
v11
Dec 31, 2021
full labeled
v10
Dec 31, 2021
2021-12-31 2:18pm
v9
Dec 31, 2021
2021-12-31 12:50am
v8
Dec 30, 2021
2021-12-31 12:43am
v7
Dec 30, 2021
2021-12-31 12:19am
v6
Dec 30, 2021
2021-12-30 6:34pm
v5
Dec 30, 2021
v9
2021-12-31 2:18pm
Generated on Dec 31, 2021
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.
74 Total Images
View All Images
Dataset Split
Train Set 77%
57Images
Valid Set 4%
3Images
Test Set 19%
14Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 416x416
Grayscale: Applied
Filter Null: Require all images to contain annotations.
Augmentations
Outputs per training example: 3
Brightness: Between 0% and +34%
Exposure: Between -2% and +2%
Noise: Up to 1% of pixels
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