Ali Saadati Image Dataset
Versions
2023-10-21 6:46pm
v28
Oct 21, 2023
2023-10-20 11:34am
v27
Oct 20, 2023
2023-10-14 7:31pm
v26
Oct 14, 2023
2023-10-03 10:47am
v25
Oct 3, 2023
2023-10-02 3:11pm
v24
Oct 2, 2023
2023-10-02 3:04pm
v23
Oct 2, 2023
2023-10-02 3:01pm
v22
Oct 2, 2023
2023-10-02 3:00pm
v21
Oct 2, 2023
2023-10-02 2:56pm
v20
Oct 2, 2023
2023-10-02 2:50pm
v19
Oct 2, 2023
2023-10-02 2:48pm
v18
Oct 2, 2023
2023-10-02 2:47pm
v17
Oct 2, 2023
2023-10-02 2:39pm
v16
Oct 2, 2023
2023-10-02 2:13pm
v15
Oct 2, 2023
2023-10-02 1:51pm
v14
Oct 2, 2023
2023-10-02 1:22pm
v13
Oct 2, 2023
2023-10-01 12:53pm
v12
Oct 1, 2023
2023-09-29 2:07pm
v11
Sep 29, 2023
no HE
v10
Sep 29, 2023
2023-09-24 8:19pm
v9
Sep 24, 2023
2023-09-24 8:07pm
v8
Sep 24, 2023
2023-09-18 11:15pm
v7
Sep 18, 2023
9.18.2023 - 1.1.1
v6
Sep 18, 2023
2023-09-09 8:40pm
v5
Sep 9, 2023
2023-09-07 1:04pm
v4
Sep 7, 2023
2023-09-07 12:44pm
v3
Sep 7, 2023
first 51 test 1
v2
Aug 24, 2023
2023-04-14 8:31am
v1
Apr 14, 2023
v7
2023-09-18 11:15pm
Generated on Sep 18, 2023
Popular Download Formats
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.
4788 Total Images
View All Images
Dataset Split
Train Set 88%
4202Images
Valid Set 8%
384Images
Test Set 4%
202Images
Preprocessing
Auto-Orient: Applied
Isolate Objects: Applied
Resize: Stretch to 780x780
Auto-Adjust Contrast: Using Histogram Equalization
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Bounding Box: Flip: Horizontal, Vertical
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