Dataset Versions
Versions
2024-03-18 5:53pm
v11
· 8 months ago
Yolov5_aug_noise-Rotation
v10
· 10 months ago
yolov5_aug_blur-saturation
v9
· 10 months ago
yolov5_AUG_shear-Saturation
v8
· 10 months ago
yolov5_aug_2x_mosaic
v7
· 10 months ago
yolov5aug2x
v5
· 10 months ago
fire_people_null_7_feb
v3
· 10 months ago
7-2-24-Train_valid
v2
· 10 months ago
7-2-24_fire_people
v1
· 10 months ago
v9
yolov5_aug_blur-saturation
Generated on Feb 9, 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 YOLOv8.
YOLOv5
TXT annotations and YAML config used with YOLOv5.
YOLOv7
TXT annotations and YAML config used with YOLOv7.
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Darknet TXT annotations used with YOLO Darknet (both v3 and v4) and YOLOv3 PyTorch.
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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.
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PaliGemma JSONL format used for fine-tuning PaliGemma, Google's open multimodal vision model.
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2267 Total Images
View All Images
Dataset Split
Train Set 89%
2016Images
Valid Set 11%
251Images
Test Set %
0Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x480
Augmentations
Outputs per training example: 2
Saturation: Between -25% and +25%
Blur: Up to 2.5px