Dataset Versions
Versions
2023-02-12 6:39pm
v24
· 2 years ago
2023-02-12 6:39pm
v23
· 2 years ago
Bounding Box Flip Rotation Blur
v22
· 2 years ago
2023-02-10 4-03pm brightness of boundingbox 25
v21
· 2 years ago
2023-02-10 3-59pm cutout
v20
· 2 years ago
2023-02-09 1:14pm
v19
· 2 years ago
2023-02-09 9:23am
v18
· 2 years ago
2023-02-09 8:49am
v17
· 2 years ago
2023-02-09 8:42am
v16
· 2 years ago
2023-02-07 4-31am shere brightnes noise
v15
· 2 years ago
2023-02-06 3-53pm nun
v14
· 2 years ago
2023-02-06 1:32pm
v13
· 2 years ago
2023-02-06 12-26pm Brightness Between -30- and -30- Edit
v12
· 2 years ago
2023-02-05 1-50pm flip- Rotation- Blur- Cutout optical
v11
· 2 years ago
2023-02-05 12:09pm
v10
· 2 years ago
2023-02-05 10-37am Hue- Saturation- Exposure- Bounding Box 90Rotate -optical
v9
· 2 years ago
2023-01-30 3:38pm
v8
· 2 years ago
2023-01-25 9:30am
v7
· 2 years ago
flip- Rotation- Blur- Cutout optical
v6
· 2 years ago
2023-01-25 6:41am
v5
· 2 years ago
Bounding Box- Flip Rotation Blur optical
v4
· 2 years ago
Shear Brightness Noise
v3
· 2 years ago
90Rotate- Grayscale- Bounding boxShear optical
v2
· 2 years ago
Hue- Saturation- Exposure- Bounding Box 90Rotate -optical
v1
· 2 years ago
v4
Bounding Box- Flip Rotation Blur optical
Generated on Jan 25, 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.
Other Formats
Choose another format.
601 Total Images
View All Images
Dataset Split
Train Set 92%
553Images
Valid Set 8%
48Images
Test Set %
0Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Bounding Box: Flip: Horizontal, Vertical
Bounding Box: Rotation: Between -15° and +15°
Bounding Box: Blur: Up to 10px