Dataset Versions
Versions
Blur Noise - Training Validation
v11
· 3 years ago
Blur - Training Validation
v10
· 3 years ago
Original - Training Validation
v9
· 3 years ago
Original - Only Training Set
v8
· 3 years ago
Test
v6
· 3 years ago
Test
v5
· 3 years ago
First 12 Object with Validation
v4
· 3 years ago
First 12 Object
v2
· 3 years ago
v11
Blur Noise - Training Validation
Generated on May 22, 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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10230 Total Images
View All Images
Dataset Split
Train Set 92%
9405Images
Valid Set 8%
825Images
Test Set %
0Images
Preprocessing
Auto-Orient: Applied
Resize: Fill (with center crop) in 2048x2048
Augmentations
Outputs per training example: 3
Blur: Up to 2.5px
Noise: Up to 5% of pixels