Dataset Versions
Versions
2023-09-06 6:04pm
v27
· a year ago
2023-08-31 12:03am
v26
· a year ago
2023-08-30 10:03pm
v24
· a year ago
2023-08-29 9:15pm
v23
· a year ago
2023-08-28 5:55pm
v22
· a year ago
2023-08-28 4:30pm
v21
· a year ago
2023-08-27 8:34pm
v20
· a year ago
2023-08-27 6:52pm
v19
· a year ago
2023-08-26 8:05pm
v18
· a year ago
2023-08-26 12:51pm
v17
· a year ago
2023-08-26 10:51am
v16
· a year ago
2023-08-26 12:47am
v15
· a year ago
2023-08-26 12:26am
v14
· a year ago
2023-08-26 12:03am
v13
· a year ago
2023-08-25 11:40pm
v12
· a year ago
2023-08-25 11:32pm
v11
· a year ago
2023-08-25 11:23pm
v10
· a year ago
2023-08-25 11:11pm
v9
· a year ago
2023-08-25 8:28pm
v8
· a year ago
2023-08-25 8:17pm
v7
· a year ago
2023-08-25 4:38pm
v5
· a year ago
2023-08-25 1:26pm
v4
· a year ago
2023-08-24 12:52pm
v3
· a year ago
2023-08-24 12:50pm
v2
· a year ago
2023-08-24 12:37pm
v1
· a year ago
v27
2023-09-06 6:04pm
Generated on Sep 6, 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.
1256 Total Images
View All Images
Dataset Split
Train Set 87%
1095Images
Valid Set 8%
96Images
Test Set 5%
65Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 1280x720
Auto-Adjust Contrast: Using Histogram Equalization
Augmentations
Outputs per training example: 3
Grayscale: Apply to 26% of images
Hue: Between -25° and +25°
Saturation: Between -25% and +25%
Bounding Box: Exposure: Between -25% and +25%