Hsin Image Dataset
Versions
768 pure annotation - 640x480 resize
v12
Sep 13, 2022
768 pure annotation
v11
Sep 12, 2022
455 pure annotation
v10
Sep 12, 2022
2022-09-12 2:28pm
v9
Sep 12, 2022
1091 images training from v5
v7
Sep 11, 2022
1091 images training from COCO
v6
Sep 11, 2022
823 images v5
v5
Sep 9, 2022
2022-09-08 4:47pm
v3
Sep 8, 2022
2022-09-06 5:24pm
v2
Sep 6, 2022
2022-09-06 5:02pm
v1
Sep 6, 2022
v6
1091 images training from COCO
Generated on Sep 11, 2022
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.
1091 Total Images
View All Images
Dataset Split
Train Set 87%
954Images
Valid Set 8%
90Images
Test Set 4%
47Images
Preprocessing
No preprocessing steps were applied.
Augmentations
Outputs per training example: 3
Rotation: Between -15° and +15°
Grayscale: Apply to 25% of images
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Blur: Up to 2px
Noise: Up to 2% of pixels
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