Dataset Versions
Versions
2023-04-17 1:19pm
v9
· 2 years ago
2022-06-15 5:01pm
v8
· 2 years ago
YOLOV4-RTX3090-1920-1088
v7
· 2 years ago
YOLOV4-RTX3090-1
v6
· 2 years ago
YoloV4-RTX3090
v5
· 2 years ago
2022-06-09 10:16am
v4
· 2 years ago
2022-06-08 4:51pm
v3
· 2 years ago
2022-06-01 4:02pm
v2
· 2 years ago
2022-06-01 4:01pm
v1
· 2 years ago
v7
YOLOV4-RTX3090-1920-1088
Generated on Jun 15, 2022
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.
CreateML JSON
CreateML JSON format is used with Apple's CreateML and Turi Create tools.
Other Formats
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541 Total Images
View All Images
Dataset Split
Train Set 93%
504Images
Valid Set 6%
30Images
Test Set 1%
7Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 1920x1088
Augmentations
Outputs per training example: 3
90° Rotate: Upside Down
Saturation: Between -40% and +40%
Exposure: Between -12% and +12%
Blur: Up to 1.5px
Noise: Up to 2% of pixels
Cutout: 3 boxes with 10% size each