Dataset Versions
Versions
1017_exposure
v16
· a month ago
1017_brightness
v15
· a month ago
1017_grayscale-rotate
v14
· a month ago
0926_shear
v13
· 2 months ago
0926_blur
v12
· 2 months ago
0926_flip-brightness-noise
v11
· 2 months ago
0926_brightness-noise
v10
· 2 months ago
0926_rotate-brightness
v9
· 2 months ago
0926_rotate
v8
· 2 months ago
v11
0926_flip-brightness-noise
Generated on Sep 26, 2024
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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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192 Total Images
View All Images
Dataset Split
Train Set 88%
168Images
Valid Set 8%
16Images
Test Set 4%
8Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Brightness: Between -15% and +15%
Noise: Up to 1.96% of pixels