Boxes on a Conveyer Belt Image Dataset
Versions
Resize640_augmented10x
v8
Nov 17, 2022
modify-classes_API-test2
v7
Oct 8, 2022
modify-classes_API-test
v6
Oct 8, 2022
augmented-10x-FAST-model_StaticCrop
v5
Aug 22, 2022
augmented-3x-FAST-model_StaticCrop
v4
Aug 22, 2022
augmented-10x-FAST-model_CropAugmentation
v3
Aug 22, 2022
augmented-3x-FAST-model_CropAugmentation
v2
Aug 22, 2022
original_raw-images
v1
Aug 22, 2022
v8
Resize640_augmented10x
Generated on Nov 17, 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.
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240 Total Images
View All Images
Dataset Split
Train Set 96%
230Images
Valid Set 3%
7Images
Test Set 1%
3Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Modify Classes: 1 remapped, 0 dropped
Augmentations
Outputs per training example: 10
Flip: Horizontal
Crop: 0% Minimum Zoom, 15% Maximum Zoom
Rotation: Between -10° and +10°
Shear: ±3° Horizontal, ±3° Vertical
Grayscale: Apply to 5% of images
Hue: Between -25° and +25°
Saturation: Between -25% and +25%
Brightness: Between -25% and +25%
Exposure: Between -20% and +20%
Blur: Up to 1.5px
Noise: Up to 1% of pixels
Cutout: 7 boxes with 3% size each
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