Oak Test Objects Image Dataset
Versions
2023-04-18 8:23am
v19
Apr 18, 2023
2023-02-16 3:42pm
v14
Feb 16, 2023
2023-02-16 3:17pm
v13
Feb 16, 2023
2023-02-16 2:28pm
v12
Feb 16, 2023
2023-02-15 10:30am
v11
Feb 15, 2023
2023-02-15 9:38am
v10
Feb 15, 2023
2023-02-15 8:32am
v9
Feb 15, 2023
2023-02-09 3:08pm
v8
Feb 9, 2023
2023-02-07 1:39pm
v7
Feb 7, 2023
2023-02-06 4:55pm
v6
Feb 7, 2023
v9
2023-02-15 8:32am
Generated on Feb 15, 2023
Popular Download Formats
YOLOv9
TXT annotations and YAML config used with YOLOv9.
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.
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.
Other Formats
Choose another format.
2847 Total Images
View All Images
Dataset Split
Train Set 93%
2645Images
Valid Set 5%
130Images
Test Set 3%
72Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 5
Flip: Horizontal
Rotation: Between -5° and +5°
Brightness: Between -20% and +20%
Blur: Up to 0.25px
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