Dataset Versions
Versions
2024-07-10 11:45am
v34
· 4 months ago
2024-03-12 2:57pm
v33
· 8 months ago
2024-01-14 1:38pm
v32
· 10 months ago
2023-05-04 11:48am
v31
· 2 years ago
2023-05-03 8:35am
v30
· 2 years ago
2023-04-25 11:03am
v29
· 2 years ago
2023-04-19 2:16am
v28
· 2 years ago
2023-04-05 12:59pm
v27
· 2 years ago
2023-04-05 12:52pm
v26
· 2 years ago
old_model_training_demo
v25
· 2 years ago
70-30_Versiyonu_DEMO
v24
· 2 years ago
2023-03-23 2:42pm
v23
· 2 years ago
2023-03-21 12:53pm
v22
· 2 years ago
2023-03-20 11:16am
v21
· 2 years ago
2023-03-13 10:07am
v20
· 2 years ago
2023-03-07 11:03pm
v19
· 2 years ago
2023-02-28 6:02pm
v18
· 2 years ago
2023-02-28 6:00pm
v17
· 2 years ago
2023-02-23 6:13pm
v16
· 2 years ago
2023-02-21 9:58pm
v15
· 2 years ago
2023-02-09 11:43am
v14
· 2 years ago
2023-02-07 2:14pm
v13
· 2 years ago
2023-01-30 2:42pm
v12
· 2 years ago
2023-01-25 2:40pm
v11
· 2 years ago
2023-01-09 12:30pm
v10
· 2 years ago
29_Aralik
v9
· 2 years ago
2022-12-01 2:48am
v8
· 2 years ago
yuzdeseksen
v7
· 2 years ago
2022-10-26 10:30pm
v6
· 2 years ago
2022-10-26 10:25pm
v5
· 2 years ago
2022-10-18 6:52pm
v4
· 2 years ago
2022-10-10 12:24am
v3
· 2 years ago
Added new files and resized images
v2
· 2 years ago
2022-10-06 11:57am
v1
· 2 years ago
v33
2024-03-12 2:57pm
Generated on Mar 12, 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.
2900 Total Images
View All Images
Dataset Split
Train Set 91%
2640Images
Valid Set 4%
125Images
Test Set 5%
135Images
Preprocessing
No preprocessing steps were applied.
Augmentations
Outputs per training example: 3
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Grayscale: Apply to 15% of images