Dataset Versions
Versions
2024-09-06 2:27pm
v21
· 2 months ago
2024-09-06 10:48am
v20
· 3 months ago
2024-09-03 1:12pm
v19
· 3 months ago
2024-09-03 2:17am
v18
· 3 months ago
2024-08-31 2:20am
v17
· 3 months ago
2024-08-30 1:12pm
v16
· 3 months ago
2024-08-30 10:43am
v15
· 3 months ago
2024-08-27 12:56pm
v14
· 3 months ago
2024-08-23 2:10pm
v13
· 3 months ago
2024-08-23 2:09pm
v12
· 3 months ago
2024-08-21 3:13pm
v11
· 3 months ago
2024-08-20 8:38am
v10
· 3 months ago
2024-08-18 5:05am
v9
· 3 months ago
2024-08-05 2:10pm
v8
· 4 months ago
2024-08-05 4:29am
v7
· 4 months ago
2023-11-22 9:21am
v6
· a year ago
2023-11-01 8:04pm
v5
· a year ago
2023-10-26 4:40pm
v4
· a year ago
2023-10-23 8:53pm
v3
· a year ago
2023-10-22 10:19am
v2
· a year ago
2023-10-22 10:07am
v1
· a year ago
v20
2024-09-06 10:48am
Generated on Sep 6, 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.
2517 Total Images
View All ImagesDataset Split
Train Set 92%
2304Images
Valid Set 8%
213Images
Test Set %
0Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Crop: 0% Minimum Zoom, 30% Maximum Zoom
Rotation: Between -5° and +5°
Grayscale: Apply to 25% of images
Brightness: Between -10% and +10%
Noise: Up to 1% of pixels