sankalpsthakur/controlled-diet-ogi-mask-reference
Image Segmentation • Updated
Datasets:
candidate_id stringlengths 11 25 | arm stringclasses 7
values | status stringclasses 1
value | selected_before_compare bool 2
classes | l2 float64 0 0.01 ⌀ | steps_completed int64 0 160 | objective_initial float64 1.37 1.5 ⌀ | objective_final float64 1.32 1.36 ⌀ | objective_trace_count int64 0 160 | objective_increases int64 0 0 | selected_tune_threshold float64 0.05 0.5 | tune_recording_macro_iou float64 0 0.34 | weights_sha256 stringlengths 64 64 | outcome_sha256 stringlengths 64 64 | tune_raw_probability_sha256 stringlengths 64 64 | source_revision stringclasses 1
value | selection_sha256 stringclasses 1
value | prepared_seal_sha256 stringclasses 1
value | confirmation_allowed bool 1
class |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
always_background_00 | always_background | completed | true | null | 0 | null | null | 0 | 0 | 0.5 | 0 | 0f5a6a44ff3be214178732a162acc3fd4cd60a77995b47a6efc2343cec40d463 | 2361657332c007e1eca5111a0fe46f53f65daab78bb699e53f49db4bf6a0e4ed | dbb1a851720fc651b9f5914b79e1119ef56cd48603b71053bbb512c366a8d3a7 | 9475f96c32dd4764471e4358ca6659b0dd348ecd | 467c1c8595dc1a23365f80038771c86d35542640e77c6b9924640cb8655a2adb | 5407e7f8a71c83ef429a2c6f06db2a6db70ea1f6c3ac996d3d9ecde5467e7260 | false |
always_foreground_00 | always_foreground | completed | true | null | 0 | null | null | 0 | 0 | 0.5 | 0.017367 | d5bb6715e1887ded6715b8b6665471d0dc115cc3a2a32f95c63bb5ef6c391358 | 182c01af7192b693788059c54a6650eb0dcf73a6b2de6d88ee7634641ec57c1b | b2178fab447e3b5760648e63850c1ab054c9010f135350ca64902318bdeadcf3 | 9475f96c32dd4764471e4358ca6659b0dd348ecd | 467c1c8595dc1a23365f80038771c86d35542640e77c6b9924640cb8655a2adb | 5407e7f8a71c83ef429a2c6f06db2a6db70ea1f6c3ac996d3d9ecde5467e7260 | false |
training_spatial_prior_00 | training_spatial_prior | completed | true | null | 0 | null | null | 0 | 0 | 0.25 | 0.34441 | 36ff696ed7b5d13528f9e27009b79623a71c71bc50240a853d238f79eaedb5ee | 41872ef637c30e5d93a360304b132ce5e823bfabf65beb763b1adbbc1a3daa21 | 941d9721ca4bdec0f4d02bebe9703cb6bbeff797891a1de6161532e55ddba45e | 9475f96c32dd4764471e4358ca6659b0dd348ecd | 467c1c8595dc1a23365f80038771c86d35542640e77c6b9924640cb8655a2adb | 5407e7f8a71c83ef429a2c6f06db2a6db70ea1f6c3ac996d3d9ecde5467e7260 | false |
dark_gray_00 | dark_gray | completed | true | null | 0 | null | null | 0 | 0 | 0.05 | 0.017478 | 30b18dc9a14dcfe079b2bdb5e59fcf63afe50cc5051ff1b81c79df02b1f5e327 | 97adb7d958ef823872d76f20ad10756ef15a974989baa1c5bc9fbdc648bbf5bb | 84c8da3120654435d96777204ad66590de4e186cccf6b9332ef89539f9ed96ae | 9475f96c32dd4764471e4358ca6659b0dd348ecd | 467c1c8595dc1a23365f80038771c86d35542640e77c6b9924640cb8655a2adb | 5407e7f8a71c83ef429a2c6f06db2a6db70ea1f6c3ac996d3d9ecde5467e7260 | false |
bright_gray_00 | bright_gray | completed | true | null | 0 | null | null | 0 | 0 | 0.25 | 0.019488 | b754d6b53d512a285e5900a8f2829a8d69a3b87e751ac8da7d35199e90be6abe | 510667e769b4718887054c61e1a89fefd826dce1f0734e90f442f65489775c6d | 522b6afdeeb2af2e7fc202531e89d73e5c2e861525db8462cab5c290d4a8546e | 9475f96c32dd4764471e4358ca6659b0dd348ecd | 467c1c8595dc1a23365f80038771c86d35542640e77c6b9924640cb8655a2adb | 5407e7f8a71c83ef429a2c6f06db2a6db70ea1f6c3ac996d3d9ecde5467e7260 | false |
feature_logistic_00 | feature_logistic | completed | true | 0 | 160 | 1.367978 | 1.351514 | 160 | 0 | 0.5 | 0.019455 | fdd1597556d6e0e22060e0c7028a6b5d09a38218fb3314a249cfbbf5f2cde34d | 21b896907f97719e847aea9f61918839c619f7a32d247d5daa2310f4fafcb48a | c47bfe708020ca47233c1af8438dc0ea9a71a10220665b64e2f961dda4ebc399 | 9475f96c32dd4764471e4358ca6659b0dd348ecd | 467c1c8595dc1a23365f80038771c86d35542640e77c6b9924640cb8655a2adb | 5407e7f8a71c83ef429a2c6f06db2a6db70ea1f6c3ac996d3d9ecde5467e7260 | false |
feature_logistic_01 | feature_logistic | completed | false | 0.001 | 160 | 1.367978 | 1.351557 | 160 | 0 | 0.5 | 0.019451 | 8226c819e91c6872d614925216e2923a1eebd4cb8a0fb004192baf07d66d1bae | a5985f5a6141dc12ea94cc1e9f8990ca3beb0d9f1e919572c0aacbb945bc5812 | a295e8a5eaa803a12385477568338637c9b66d72c90a815ac88e1b4ea3485958 | 9475f96c32dd4764471e4358ca6659b0dd348ecd | 467c1c8595dc1a23365f80038771c86d35542640e77c6b9924640cb8655a2adb | 5407e7f8a71c83ef429a2c6f06db2a6db70ea1f6c3ac996d3d9ecde5467e7260 | false |
feature_logistic_02 | feature_logistic | completed | false | 0.01 | 160 | 1.367978 | 1.351926 | 160 | 0 | 0.5 | 0.019387 | e78e0ce3b5f8c711378c49f190f8ff4df58fb6ed3f9433516674c329d5506aa8 | e671e09ff7af70f58996544a5a76b6bf2782fab96ca0b56546f39514c9d4b7aa | b6ae1772724c378e10a8341b2d0cac30dee235520c65aac27724344dcef066c2 | 9475f96c32dd4764471e4358ca6659b0dd348ecd | 467c1c8595dc1a23365f80038771c86d35542640e77c6b9924640cb8655a2adb | 5407e7f8a71c83ef429a2c6f06db2a6db70ea1f6c3ac996d3d9ecde5467e7260 | false |
tiny_mlp_00 | tiny_mlp | completed | true | 0 | 160 | 1.45682 | 1.316544 | 160 | 0 | 0.5 | 0.023552 | 8411674d638ed71241e5ecfa5fc20f3e0059b62683545f57f8c650e4495f0cfd | aa136babd34565dc046fc8b6753e4555b99686ca6c53e11729348a350417f855 | 9a791a545994904d6247d76780c055e886e712c6cfd1bcde8587a1f85c5ff116 | 9475f96c32dd4764471e4358ca6659b0dd348ecd | 467c1c8595dc1a23365f80038771c86d35542640e77c6b9924640cb8655a2adb | 5407e7f8a71c83ef429a2c6f06db2a6db70ea1f6c3ac996d3d9ecde5467e7260 | false |
tiny_mlp_01 | tiny_mlp | completed | false | 0.001 | 160 | 1.4616 | 1.321739 | 160 | 0 | 0.5 | 0.023525 | 775cc6ac23e1c1079313842cb90c9bdf6a500e022cfcf93bfcd7201df12afba8 | b41ab7e0c6d696cebc17bf8ae46a745065ed439fc8dd4539c73cb90b3265263d | 558470637b42df74dee9becc5da852ec26cb1147104ac327794659382f04eb74 | 9475f96c32dd4764471e4358ca6659b0dd348ecd | 467c1c8595dc1a23365f80038771c86d35542640e77c6b9924640cb8655a2adb | 5407e7f8a71c83ef429a2c6f06db2a6db70ea1f6c3ac996d3d9ecde5467e7260 | false |
tiny_mlp_02 | tiny_mlp | completed | false | 0.01 | 160 | 1.504622 | 1.362086 | 160 | 0 | 0.5 | 0.023424 | 8f41d9558b3d268b5c4f7f688f4c67a24843dc3b5ae09db33a5ba105b1b4c849 | 28d16fc49a3b4756267771dbaf965de5dac02055ee02f77f7c480980a22d1d85 | ef6486c4ee03582edc8fba81689ff824332754278111f323992903fe544d85b4 | 9475f96c32dd4764471e4358ca6659b0dd348ecd | 467c1c8595dc1a23365f80038771c86d35542640e77c6b9924640cb8655a2adb | 5407e7f8a71c83ef429a2c6f06db2a6db70ea1f6c3ac996d3d9ecde5467e7260 | false |
Controlled Diet recording/mask audit
Audit tables for a small gas-imaging study on baselab's Controlled Diet dataset, which is laboratory methane from rumen fermentation. Its 137 rows describe 42 source images from nine recordings. They are not images, chemical measurements or gas-free sessions.
| Config | Split | Rows | Contents |
|---|---|---|---|
recording_manifest |
development_train / _tune / _compare |
18 / 12 / 12 | Filenames, recording IDs, source hashes, diet class IDs, publisher foreground counts |
compare_frames |
development_compare |
84 | 12 frames × 7 models: native 640×480 confusion counts, IoU, Dice, precision, recall |
candidates |
development_tune |
11 | Every candidate's outcome, selection flags and tuning IoU |
The spatial prior's comparison IoU is 0.138078, against 0.026416 for the tiny MLP and
0.022555 for logistic regression: both learned models lose. Empty cells are undefined
metrics, not zeros. background_pixel_overprediction_ratio measures pixel overprediction
against weak masks. It is never a gas false-alarm rate.
Models, weights and the full report are in controlled-diet-ogi-mask-reference.
Source, attribution and modifications
Source: Controlled Diet (CD) Dataset for Methane Plume Detection,
by Mohamed G. Embaby, Toqi Tahamid Sarker, Amer AbuGhazaleh and Khaled R. Ahmed,
Southern Illinois University Carbondale. Exact revision 9475f96c32dd4764471e4358ca6659b0dd348ecd.
Pinned source license
declares CC BY 4.0; a source metadata JSON separately declares CC0. The unresolved
discrepancy is retained; this audit elects CC BY 4.0 and makes no public-domain claim.
See ATTRIBUTION.md, LICENSE and
CC BY 4.0 terms. No endorsement is implied.
Changes: prospectively selected 42 pairs; recording-disjoint development roles; nonzero binary mask occupancy; fractional training targets and native-resolution confusion counts; CSV transfer of the frozen source IDs and CPU results. Filenames, source hashes, bytes and publisher counts are retained. No copied article or image payload is in this audit repository. The related model's original cloud archive retains the qualified PNG subset with its source notices and separate dependency grants.
The previous card, with selection hashes and publication records, is in HISTORY.md.
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Models trained or fine-tuned on sankalpsthakur/cd-ogi-recording-mask-audit