Dataset Versions
Versions
2023-08-03 11-18am-backup
v34
· a year ago
2023-02-20 3:30pm
v33
· 2 years ago
2023-01-06 3:48pm
v32
· 2 years ago
2023-01-06 3:43pm
v31
· 2 years ago
2022-12-17 12:23pm
v30
· 2 years ago
2022-12-16 10:25pm
v29
· 2 years ago
2022-12-16 4:56pm
v28
· 2 years ago
2022-12-16 2:29pm
v27
· 2 years ago
2022-12-15 8:14pm
v26
· 2 years ago
2022-12-15 8:13pm
v25
· 2 years ago
2022-12-15 10:05am
v24
· 2 years ago
2022-12-14 9:59pm
v23
· 2 years ago
2022-12-14 3:40pm
v22
· 2 years ago
2022-12-14 9:10am
v21
· 2 years ago
2022-12-13 4:20pm
v20
· 2 years ago
2022-12-13 9:23am
v19
· 2 years ago
2022-12-11 5:17pm
v18
· 2 years ago
2022-12-10 9:41am
v17
· 2 years ago
2022-12-10 8:23am
v16
· 2 years ago
2022-12-10 8:09am
v15
· 2 years ago
2022-12-10 5:18am
v14
· 2 years ago
2022-12-09 6:06pm
v13
· 2 years ago
2022-12-09 7:01am
v12
· 2 years ago
2022-12-08 2:40pm
v11
· 2 years ago
2022-12-08 10:35am
v10
· 2 years ago
2022-12-07 10:39pm
v9
· 2 years ago
2022-12-07 9:30pm
v8
· 2 years ago
2022-12-07 9:14am
v7
· 2 years ago
2022-12-07 9:13am
v6
· 2 years ago
2022-12-06 8:51pm
v5
· 2 years ago
2022-12-06 3:30pm
v4
· 2 years ago
2022-12-06 2:01pm
v3
· 2 years ago
2022-12-06 12:35pm
v2
· 2 years ago
2022-12-05 11:07pm
v1
· 2 years ago
v24
2022-12-15 10:05am
Generated on Dec 15, 2022
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.
3604 Total Images
View All Images
Dataset Split
Train Set 87%
3144Images
Valid Set 8%
296Images
Test Set 5%
164Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 800x600
Augmentations
Outputs per training example: 3
Grayscale: Apply to 25% of images
Brightness: Between -25% and +25%
Blur: Up to 10px
Noise: Up to 5% of pixels