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
v5
YoloV4-RTX3090
Generated on Jun 9, 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
Choose another format.
164 Total Images
View All Images
Dataset Split
Train Set 95%
156Images
Valid Set 5%
8Images
Test Set %
0Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 416x416
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