Dataset Versions
Versions
Release4 - Dataset 1 -1830t401v-
v12
· 22 days ago
2024-12-02 4:31pm
v11
· 22 days ago
2024-12-02 4:27pm
v10
· 22 days ago
demo_release3 - dataset2
v8
· 3 months ago
demo_release3 - dataset1
v7
· 3 months ago
Augmentation v2.2 - RGB
v6
· 3 months ago
Augmentation v2.1 - GrayScale
v5
· 3 months ago
Augmentation v1
v2
· 5 months ago
v7
demo_release3 - dataset1
Generated on Sep 12, 2024
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YOLOv11
TXT annotations and YAML config used with YOLOv11.
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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2799 Total Images
View All Images
Dataset Split
Train Set 100%
2799Images
Valid Set %
0Images
Test Set %
0Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Contrast Stretching
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -15° and +15°
Hue: Between -15° and +15°
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%
Blur: Up to 0.3px
Noise: Up to 0.1% of pixels