Dataset Versions
Versions
2023-03-15 4:18pm
v31
· 2 years ago
2023-03-15 4:18pm
v30
· 2 years ago
2023-03-15 4:17pm
v29
· 2 years ago
2023-03-14 7:14pm
v28
· 2 years ago
2023-03-12 7:08pm
v27
· 2 years ago
2023-03-12 7:00pm
v26
· 2 years ago
2023-03-12 7:00pm
v25
· 2 years ago
2023-03-12 6:59pm
v24
· 2 years ago
2023-03-12 12:00pm
v23
· 2 years ago
2023-03-12 11:59am
v22
· 2 years ago
2023-03-12 11:47am
v21
· 2 years ago
2023-03-12 11:41am
v20
· 2 years ago
2023-03-12 11:36am
v19
· 2 years ago
2023-03-12 11:32am
v18
· 2 years ago
2023-03-12 11:25am
v17
· 2 years ago
2023-03-12 11:18am
v16
· 2 years ago
2023-03-12 11:14am
v15
· 2 years ago
2023-03-12 11:13am
v14
· 2 years ago
2023-03-12 11:07am
v13
· 2 years ago
2023-03-12 10:17am
v12
· 2 years ago
2023-03-08 9:32pm
v11
· 2 years ago
2023-03-08 9:28pm
v10
· 2 years ago
2023-03-08 9:25pm
v9
· 2 years ago
2023-03-08 9:21pm
v8
· 2 years ago
2023-03-08 9:16pm
v7
· 2 years ago
2023-03-08 9:14pm
v6
· 2 years ago
2023-03-08 9:09pm
v5
· 2 years ago
2023-03-08 9:06pm
v4
· 2 years ago
2023-03-08 9:03pm
v3
· 2 years ago
2023-03-08 9:01pm
v2
· 2 years ago
2023-03-08 8:58pm
v1
· 2 years ago
v12
2023-03-12 10:17am
Generated on Mar 12, 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.
240 Total Images
View All Images
Dataset Split
Train Set 84%
201Images
Valid Set 13%
31Images
Test Set 3%
8Images
Preprocessing
Auto-Orient: Applied
Isolate Objects: Applied
Resize: Stretch to 959x959
Auto-Adjust Contrast: Using Contrast Stretching
Augmentations
Outputs per training example: 3
Saturation: Between -8% and +8%
Exposure: Between -3% and +3%
Bounding Box: Crop: 0% Minimum Zoom, 50% Maximum Zoom
Bounding Box: Exposure: Between -25% and +25%