AKE_TEST Image Dataset
Versions
2023-06-15 7:39pm
v13
· a year ago
2023-06-15 4:06pm
v12
· a year ago
2023-06-14 9:10pm
v11
· a year ago
2023-06-13 10:12am
v10
· a year ago
2023-06-13 10:11am
v9
· a year ago
2023-06-13 9:55am
v8
· a year ago
SGD2
v7
· a year ago
RMSprop
v6
· a year ago
Adam2
v5
· a year ago
Adam
v4
· a year ago
RMSprop
v2
· a year ago
SGD
v1
· a year ago
v13
2023-06-15 7:39pm
Generated on Jun 15, 2023
Popular Download Formats
YOLOv9
TXT annotations and YAML config used with YOLOv9.
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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.
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.
PaliGemma
PaliGemma JSONL format used for fine-tuning PaliGemma, Google's open multimodal vision model.
CreateML JSON
CreateML JSON format is used with Apple's CreateML and Turi Create tools.
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1155 Total Images
View All Images
Dataset Split
Train Set 92%
1068Images
Valid Set 7%
77Images
Test Set 1%
10Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 820x820
Augmentations
Outputs per training example: 3
Rotation: Between -25° and +25°
Shear: ±20° Horizontal, ±20° Vertical
Exposure: Between -25% and +25%
Blur: Up to 2.5px
Noise: Up to 10% of pixels
Cutout: 4 boxes with 20% size each
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