Dataset Versions
Versions
yolov11_incident_classification_v4
v21
· 2 days ago
yolov9_incident_classification_v3
v20
· 2 days ago
yolov11_incident_classification_v2
v17
· 2 days ago
yolov11_incident_classification_v1
v16
· 3 days ago
yolov5_incident_classification_v1
v15
· 4 days ago
incident_classification_v14
v14
· 8 days ago
incident_classification_v13
v13
· 11 days ago
incident_classification_v12
v12
· 14 days ago
incident_classification_v10
v10
· a month ago
v21
yolov11_incident_classification_v4
Generated on Nov 24, 2024
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YOLOv11
TXT annotations and YAML config used with YOLOv11.
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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.
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CreateML JSON format is used with Apple's CreateML and Turi Create tools.
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11259 Total Images
View All Images
Dataset Split
Train Set 88%
9852Images
Valid Set 6%
704Images
Test Set 6%
703Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Brightness: Between -25% and +25%
Exposure: Between -10% and +10%
Blur: Up to 2.5px
Noise: Up to 1.01% of pixels