Dataset Versions
Versions
v4-416
v20
· 3 years ago
v4-640
v19
· 3 years ago
v3-640
v18
· 3 years ago
cutout 2k
v15
· 3 years ago
blur 2k
v14
· 3 years ago
noise 2k
v13
· 3 years ago
v2.1-1280
v10
· 3 years ago
v2.1-640
v9
· 3 years ago
v2-RAW
v8
· 3 years ago
v2-1280
v7
· 3 years ago
RAW
v6
· 3 years ago
v1-1280
v4
· 3 years ago
v1-640
v3
· 3 years ago
v1
v1
· 3 years ago
v20
v4-416
Generated on May 5, 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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9286 Total Images
View All Images
Dataset Split
Train Set 81%
7500Images
Valid Set 19%
1720Images
Test Set 1%
66Images
Preprocessing
Resize: Stretch to 416x416
Augmentations
Outputs per training example: 3
Brightness: Between -24% and +24%
Blur: Up to 1px
Noise: Up to 1% of pixels
Cutout: 10 boxes with 1% size each