Dataset Versions
Versions
2023-05-27 1:02am
v11
· a year ago
2023-05-26 2:12pm
v10
· a year ago
2023-05-18 12:34am
v9
· 2 years ago
2023-04-26 4:23pm
v8
· 2 years ago
2023-04-26 4:21pm
v7
· 2 years ago
Sheer_Noise_Small_Color
v6
· 2 years ago
Static_Crop_Color
v5
· 2 years ago
Grayscale_normalisePixelValues
v4
· 2 years ago
2023-04-22 11:36pm
v2
· 2 years ago
2023-04-22 11:33pm
v1
· 2 years ago
v6
Sheer_Noise_Small_Color
Generated on Apr 22, 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.
60 Total Images
View All Images
Dataset Split
Train Set 75%
45Images
Valid Set 10%
6Images
Test Set 15%
9Images
Preprocessing
Auto-Orient: Applied
Static Crop: 0-92% Horizontal Region, 25-56% Vertical Region
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Histogram Equalization
Augmentations
Outputs per training example: 3
Shear: ±14° Horizontal, ±15° Vertical
Noise: Up to 5% of pixels