Dataset Versions
Versions
mosice yolov5
v29
· 2 years ago
Hue- Saturation- Exposure- Bounding Box 90Rotate
v28
· 2 years ago
90Rotate- Grayscale- Bounding boxShear
v27
· 2 years ago
Shear Brightness Noise
v26
· 2 years ago
Bounding Box- Flip Rotation Blur
v25
· 2 years ago
flip- Rotation- Blur- Cutout
v24
· 2 years ago
2023-01-10 3:21pm
v23
· 2 years ago
Bounding Box- Noise 5
v22
· 2 years ago
Bounding Box- Blur 10
v21
· 2 years ago
non aug
v20
· 2 years ago
Bounding Box- Exposure
v19
· 2 years ago
Bounding Box- Brightness 25
v18
· 2 years ago
Bounding Box- Shear 15
v17
· 2 years ago
Bounding Box- Rotation 15
v16
· 2 years ago
Bounding Box- 90- Rotate
v15
· 2 years ago
Bounding Box- Flip
v14
· 2 years ago
Exposure 20
v13
· 2 years ago
Brightness 30
v12
· 2 years ago
Saturation 30
v11
· 2 years ago
Hue 25
v10
· 2 years ago
Grayscale 25
v9
· 2 years ago
Shear 20
v8
· 2 years ago
Rotation 30
v7
· 2 years ago
Cutout 5 and 10
v6
· 2 years ago
Mosaic
v5
· 2 years ago
noise 5-
v4
· 2 years ago
blur 1.25px
v3
· 2 years ago
Add vertical flips
v2
· 2 years ago
Add horizontal flips
v1
· 2 years ago
v23
2023-01-10 3:21pm
Generated on Jan 10, 2023
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.
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1132 Total Images
View All Images
Dataset Split
Train Set 92%
1044Images
Valid Set 8%
88Images
Test Set %
0Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
Rotation: Between -30° and +30°
Shear: ±20° Horizontal, ±20° Vertical
Blur: Up to 1.25px
Bounding Box: Flip: Horizontal, Vertical
Bounding Box: Rotation: Between -15° and +15°
Bounding Box: Shear: ±15° Horizontal, ±15° Vertical