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
v5
yolov5aug2x
Generated on Feb 9, 2024
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.
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CreateML JSON format is used with Apple's CreateML and Turi Create tools.
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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
Rotation: Between -15° and +15°
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Blur: Up to 2.5px
Noise: Up to 0.1% of pixels