fin Image Dataset
Versions
2024-05-10 11:42am
v11
May 10, 2024
2024-05-10 9:21am
v10
May 10, 2024
2024-05-09 10:49am
v9
May 9, 2024
2024-04-26 10:59am
v8
Apr 26, 2024
2024-04-08 2:43pm
v7
Apr 8, 2024
2023-12-22 2:22pm
v6
Dec 22, 2023
2023-12-22 10:43am
v5
Dec 22, 2023
2023-12-21 1:03pm
v4
Dec 21, 2023
2023-12-21 11:24am
v2
Dec 21, 2023
2023-12-21 11:04am
v1
Dec 21, 2023
v11
2024-05-10 11:42am
Generated on May 10, 2024
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.
1414 Total Images
View All Images
Dataset Split
Train Set 93%
1308Images
Valid Set 7%
106Images
Test Set %
0Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Filter Null: Require all images to contain annotations.
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
Rotation: Between -14° and +14°
Saturation: Between -17% and +17%
Brightness: Between -15% and +15%
Exposure: Between -11% and +11%
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