Dataset Versions
Versions
2023-04-02 1:35pm
v13
· 2 years ago
2023-04-01 12:14am
v12
· 2 years ago
2023-03-31 6:57pm
v11
· 2 years ago
Please Work
v9
· 2 years ago
Uploadable Augmentations
v8
· 2 years ago
yolov8 local train test
v5
· 2 years ago
2023-03-28 1:15pm
v4
· 2 years ago
2023-03-28 12:40am
v3
· 2 years ago
What is it doing-
v1
· 2 years ago
v13
2023-04-02 1:35pm
Generated on Apr 2, 2023
Popular Download Formats
YOLOv11
TXT annotations and YAML config used with YOLOv11.
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.
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1470 Total Images
View All Images
Dataset Split
Train Set 92%
1356Images
Valid Set 4%
58Images
Test Set 4%
56Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Augmentations
Outputs per training example: 6
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Blur: Up to 3.25px
Cutout: 6 boxes with 10% size each