Dataset Versions
Versions
2023-02-01 9:02pm
v40
· 2 years ago
2023-02-01 2:38pm
v39
· 2 years ago
2023-01-31 3:56pm
v38
· 2 years ago
2023-01-31 3:11pm
v37
· 2 years ago
2023-01-29 11:55pm
v36
· 2 years ago
2023-01-29 11:20pm
v35
· 2 years ago
2023-01-29 8:43pm
v34
· 2 years ago
2023-01-29 10:58am
v33
· 2 years ago
2023-01-29 1:44am
v32
· 2 years ago
2023-01-29 12-49am - bus v1
v31
· 2 years ago
2023-01-28 10:15pm
v30
· 2 years ago
2023-01-27 12:08am
v29
· 2 years ago
2023-01-26 11:52pm
v28
· 2 years ago
2023-01-26 11:07pm
v27
· 2 years ago
2023-01-26 9:58pm
v26
· 2 years ago
2023-01-26 3:48pm
v25
· 2 years ago
Cleaning_YOLOv5_25_01_2023
v24
· 2 years ago
2023-01-25 1:46am
v23
· 2 years ago
2023-01-25 1:21am
v22
· 2 years ago
Cleaning-v2
v21
· 2 years ago
Cleaning-v1
v20
· 2 years ago
2023-01-19 9:07pm
v19
· 2 years ago
Augmented v3
v17
· 2 years ago
Horizontal-Flip-Fit-in-black 0.80
v16
· 2 years ago
Augmented-v2 0.58
v15
· 2 years ago
Augmented-v1 0.63
v14
· 2 years ago
2022-12-27 11-34pm -0.63
v12
· 2 years ago
2022-12-22 10:42pm
v11
· 2 years ago
2022-12-21 3:53pm
v10
· 2 years ago
Cloned v2
v9
· 2 years ago
Cloned v1
v8
· 2 years ago
2022-12-20 4:11pm
v7
· 2 years ago
2022-12-20 1:36pm
v6
· 2 years ago
2022-12-19 5:16pm
v5
· 2 years ago
2022-12-16 11:37pm
v3
· 2 years ago
2022-12-16 12-40pm
v2
· 2 years ago
2022-12-15 7:00pm
v1
· 2 years ago
v28
2023-01-26 11:52pm
Generated on Jan 26, 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.
1643 Total Images
View All Images
Dataset Split
Train Set 70%
1153Images
Valid Set 20%
333Images
Test Set 10%
157Images
Preprocessing
Auto-Orient: Applied
Resize: Fit (black edges) in 416x416
Augmentations
Outputs per training example: 1
Flip: Horizontal