Dataset Versions
Versions
2024-10-05 10:54am
v10
· a month ago
2024-04-17 9:45pm
v9
· 7 months ago
2024-04-16 5:51pm
v8
· 7 months ago
final
v7
· 7 months ago
less val
v6
· 7 months ago
for real v9
v5
· 7 months ago
for v9
v4
· 7 months ago
Optimistic
v3
· 7 months ago
dataset for yolo v9
v2
· 7 months ago
Dataset 1
v1
· 7 months ago
v8
2024-04-16 5:51pm
Generated on Apr 16, 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.
1490 Total Images
View All Images
Dataset Split
Train Set 94%
1401Images
Valid Set 5%
79Images
Test Set 1%
10Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Shear: ±10° Horizontal, ±10° Vertical
Grayscale: Apply to 15% of images
Hue: Between -15° and +15°
Brightness: Between -23% and +0%
Exposure: Between -10% and +10%
Blur: Up to 1px
Noise: Up to 1.21% of pixels