This project contains archived endpoints!
We recently moved team projects into workspaces and had to generate new endpoints. To prevent notebook and production errors, we preserved the original endpoints here. Update your notebooks and inference endpoints to reference the active project, then delete this archive.
View active project in the new workspace →Dataset Versions
Versions
2021-05-05 2:58am
v40
· 4 years ago
raccons-modelplace
v39
· 4 years ago
416x416-resize
v38
· 4 years ago
416x416-resize2
v37
· 4 years ago
500x500-augmentations
v34
· 5 years ago
resize500x500-augmentations
v33
· 5 years ago
grant-ex
v32
· 5 years ago
noise-only-6
v31
· 5 years ago
noise-only
v30
· 5 years ago
gray-contrast-noise
v29
· 5 years ago
gray-noise
v28
· 5 years ago
another-one
v27
· 5 years ago
example-less-contrast
v26
· 5 years ago
example-dan
v25
· 5 years ago
reflect-800x400
v24
· 5 years ago
2020-02-25 1:38pm
v23
· 5 years ago
reflect-801x400
v22
· 5 years ago
2020-02-25 1:35pm
v21
· 5 years ago
reflect-800x400
v20
· 5 years ago
reflect-800x400
v19
· 5 years ago
original
v18
· 5 years ago
reflect-test
v17
· 5 years ago
fill-416x416-crop-50
v16
· 5 years ago
crop-50
v15
· 5 years ago
horizontal-shear-15
v14
· 5 years ago
horizontal-shear-15
v13
· 5 years ago
hist-eq
v12
· 5 years ago
reflect-800x400
v11
· 5 years ago
resize-reflect
v10
· 5 years ago
resize416x416
v9
· 5 years ago
resize416x416
v8
· 5 years ago
resize416x416
v7
· 5 years ago
resize-reflect-annotations
v6
· 5 years ago
center-crop-in
v5
· 5 years ago
416x416-resize
v4
· 5 years ago
center-crop-in
v3
· 5 years ago
raw
v2
· 5 years ago
v13
horizontal-shear-15
Generated on Feb 22, 2020
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TXT annotations and YAML config used with YOLOv11.
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TXT annotations and YAML config used with YOLOv8.
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TXT annotations and YAML config used with YOLOv5.
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TXT annotations and YAML config used with YOLOv7.
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COCO JSON annotations are used with EfficientDet Pytorch and Detectron 2.
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Darknet TXT annotations used with YOLO Darknet (both v3 and v4) and YOLOv3 PyTorch.
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Common XML annotation format for local data munging (pioneered by ImageNet).
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TFRecord binary format used for both Tensorflow 1.5 and Tensorflow 2.0 Object Detection models.
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PaliGemma JSONL format used for fine-tuning PaliGemma, Google's open multimodal vision model.
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196 Total Images
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Preprocessing
No preprocessing steps were applied.
Augmentations
Outputs per training example: 1
Shear: ±15° Horizontal, ±0° Vertical