Dataset Versions
Versions
FinalDeploy
v46
· 2 years ago
2022-07-29 9:14pm
v45
· 2 years ago
2022-07-29 2:29pm
v44
· 2 years ago
VFlip_Crop20
v43
· 2 years ago
Final 3
v42
· 2 years ago
2022-07-28 3:01pm
v41
· 2 years ago
2022-07-28 3:01pm
v40
· 2 years ago
2022-07-28 3:00pm
v39
· 2 years ago
2022-07-28 2:59pm
v38
· 2 years ago
2022-07-28 2:59pm
v37
· 2 years ago
2022-07-28 2:58pm
v36
· 2 years ago
Final 3
v34
· 2 years ago
Final 2
v33
· 2 years ago
2022-07-28 10:12am
v32
· 2 years ago
2022-07-28 3:01am
v31
· 2 years ago
Final Dataset
v29
· 2 years ago
Crop 60
v28
· 2 years ago
Crop 40
v27
· 2 years ago
Crop 20
v26
· 2 years ago
Rotate45Deg
v25
· 2 years ago
Rotate30Deg
v24
· 2 years ago
Rotate15Deg
v23
· 2 years ago
Flip Multi
v22
· 2 years ago
Flip Vertical
v21
· 2 years ago
Flip Horizontal
v20
· 2 years ago
70 15 15
v19
· 2 years ago
70 20 10
v18
· 2 years ago
2022-07-25 3:48pm
v16
· 2 years ago
2022-07-25 3:48pm
v15
· 2 years ago
2022-07-25 3:46pm
v14
· 2 years ago
Flip Multi
v12
· 2 years ago
80 10 10
v11
· 2 years ago
50 10 40
v10
· 2 years ago
60 10 30
v9
· 2 years ago
70 10 20
v8
· 2 years ago
448x448
v7
· 2 years ago
Mirror Augment
v6
· 2 years ago
320x320
v5
· 2 years ago
280x280
v3
· 2 years ago
260x260
v1
· 2 years ago
v46
FinalDeploy
Generated on Jul 29, 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.
688 Total Images
View All Images
Dataset Split
Train Set 80%
552Images
Valid Set 10%
68Images
Test Set 10%
68Images
Preprocessing
Auto-Orient: Applied
Resize: Fit within 448x448
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
Crop: 0% Minimum Zoom, 20% Maximum Zoom