Dataset Versions
Versions
Dataset_NEW
v10
· 6 months ago
OriginalDataset2
v9
· 6 months ago
2024-05-25 10:08am
v8
· 6 months ago
2024-05-18 12:10pm
v7
· 6 months ago
OriginalDataSet
v6
· 6 months ago
2024-05-15 12:43am
v5
· 6 months ago
2024-05-15 12:09am
v4
· 6 months ago
2024-05-06 5:49pm
v3
· 7 months ago
2024-05-01 7:49pm
v2
· 7 months ago
2024-05-01 4:44pm
v1
· 7 months ago
v4
2024-05-15 12:09am
Generated on May 14, 2024
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.
7338 Total Images
View All Images
Dataset Split
Train Set 91%
6654Images
Valid Set 6%
455Images
Test Set 3%
229Images
Preprocessing
Static Crop: 10-90% Horizontal Region, 5-60% Vertical Region
Resize: Fit (black edges) in 640x640
Grayscale: Applied
Augmentations
Outputs per training example: 5
Rotation: Between -10° and +10°
Blur: Up to 1.5px