Apple Vision Image Dataset
Versions
AppleVision-Larger-Set 80-20-10 split
v9
May 12, 2022
AppleVision-ACCURATE_model-RoboflowTrain
v8
Apr 30, 2022
AppleVision-FAST_model-RoboflowTrain
v7
Apr 30, 2022
Apple Vision for YOLOv5
v6
Mar 3, 2022
Apple Vision Version 5 -small validation-
v5
Feb 16, 2022
Apple Vision Version 4
v4
Jan 4, 2022
Apple Vision Version 3
v3
Dec 18, 2021
Apple Vision Version 2
v2
Dec 7, 2021
Apple Vision Version 1
v1
Dec 6, 2021
v6
Apple Vision for YOLOv5
Generated on Mar 3, 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
Choose another format.
984 Total Images
View All Images
Dataset Split
Train Set 91%
900Images
Valid Set 2%
20Images
Test Set 7%
64Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal
Rotation: Between -45° and +45°
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